259 AI Development jobs in the United Kingdom
Lead Machine Learning and AI Engineer
Posted 20 days ago
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NatureMetrics is a global leader in biodiversity monitoring and environmental DNA (eDNA) analysis, transforming the scale at which nature can be quantified. Our cutting-edge solutions enable organisations to monitor nature impact across sectors, from conservation to industry and inform sustainability decisions with unprecedented accuracy. With a strong market leading position, NatureMetrics has established a robust client base and developed a proprietary software platform that makes biodiversity insights accessible, actionable and scalable. As Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024 and TechNation Future Fifty 2025 cohort members, we have the potential and the opportunity to change the way organisations operate.
As we continue to grow, we're looking for a highly skilled and experienced Lead Machine Learning (ML) and artificial intelligence (AI) Engineer to drive the development and deployment of our advanced ML and AI learning solutions. In this pivotal role, you'll combine hands-on technical leadership with strategic vision, to build innovative models and scalable infrastructure that tackle complex ecological and geospatial challenges. You'll be instrumental in shaping our ML and AI roadmap, directly contributing to helping organisations understand and manage their impact on nature.
Key Responsibilities
Hands-on technical leadership: Lead the design, development and deployment of end-to-end ML and AI systems, from research and prototyping to productionisation and monitoring.
Model development: Lead the development and implementation of advanced ML algorithms and models to solve complex ecological and geospatial problems.
System design and architecture: Architect, build and maintain scalable, reliable, and efficient ML and AI pipelines and infrastructure.
Mentorship: Provide technical guidance, project management,and mentorship to a team of ML engineers and data scientists, fostering their growth and ensuring high-quality deliverables.
Product strategy and innovation: Collaborate with product managers and stakeholders to translate business requirements into technical solutions, contributing to the overall ML and AI strategy and identifying opportunities for innovation.
Why us?
At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose.
We're a dynamic team passionate about nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey!
About you
We’re looking for a driven and collaborative technical leader who is passionate about using ML and AI to make a tangible impact on helping organisations understand and manage their impact on nature. You should thrive in a dynamic, purpose-driven environment and be eager to tackle challenging, real-world problems.
You will bring:
- Significant experience in ML engineering or applied data science.
- A proven track record of successfully designing, building and deploying ML models into production environments at scale.
- Expertise in Python and relevant ML libraries.
- Strong experience with various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience developing generative AI applications and deploying them into production.
- Experience working with cloud platforms, ideally Google Cloud Platform (GCP) and BigQuery.
- Proficiency in working with and querying global scale datasets.
- Experience working with bioinformatics, life sciences, or geospatial data.
- Strong understanding of software engineering best practices, including version control (e.g. Git), CI/CD, and testing.
- Strong understanding of MLOps principles and monitoring and evaluation tools.
- Experience of providing technical mentorship and guidance to junior ML engineers and data scientists.
- Excellent communication and stakeholder management skills, with the ability to distil complex ideas for diverse audiences.
- A collaborative mindset and a desire to work cross-functionally across a purpose-driven business.
- Experience in a technical lead role.
- Experience working with software as a service (SaaS) products.
What's in it for you
- Competitive Salary
- Impactful work with a purpose-driven team
- Flexible work arrangements
- Opportunities for professional growth
- Benefits package including salary sacrifice pension scheme prioritising sustainability; life assurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy.
AI Engineer
Posted 11 days ago
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DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.
Key Responsibilities:
- Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
- Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
- Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
- Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
- Create and maintain feature pipelines, feature stores, and model stores.
- Develop frameworks to enable scalable, reproducible research.
- Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.
Qualifications:
- Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 3+ years of experience working with machine learning and artificial intelligence technology.
- Strong understanding of core machine learning and artificial intelligence concepts.
- Excellent programming skills in Python.
- Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
- Hands-on experience with MLOps and AIOps infrastructure and tooling.
- Proficient in problem-solving and analytical reasoning.
- Exceptional communication and collaboration skills.
- Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.
- Experience with Large Language Models, including RAG and fine-tuning techniques.
- Familiarity with compute infrastructure necessary to support operating AI and ML technology.
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#LI-BL1
#J-18808-LjbffrAI Engineer
Posted 9 days ago
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- You are a builder and innovator who is passionate about creating sophisticated AI systems that bring synthetic populations to life. You are someone who can translate complex behavioral requirements into robust technical architectures, building the systems that allow thousands of AI agents to interact, remember, and behave consistently ,
- You have hands-on experience applying large language models to solve complex, open-ended problems. You excel at designing scalable agent architectures, implementing advanced LLM techniques, and building production-ready systems that can handle the computational demands of large-scale agent simulations ,
- MS in Computer Science, Machine Learning, AI, or related field, or equivalent practical experience ,
- At least 2 years of industry experience in a commercial, non-research environment working with AI/ML systems ,
- Proven track record of building and deploying LLM-powered applications in production ,
- Deep experience applying large language models to complex, real-world problems ,
- Strong proficiency in Python and ML frameworks (PyTorch, JAX, TensorFlow, Hugging Face Transformers) ,
- Hands-on experience with advanced LLM techniques: RAG systems, chain-of-thought prompting, agentic tool use, and multi-agent coordination ,
- Experience with distributed systems, cloud platforms, and scalable ML infrastructure ,
- Knowledge of prompt engineering, LLM fine-tuning, and model optimization techniques ,
- Familiarity with vector databases, embedding systems, and retrieval architectures ,
- Experience with real-time systems and low-latency inference ,
- Knowledge of memory systems and persistent state management for AI agents ,
- Familiarity with simulation frameworks and agent-based modeling platforms
- Develop: Develop the core cognitive systems that give our AI agents persistent memory, consistent personalities, and sophisticated reasoning capabilities ,
- Platform: Create and maintain the scalable infrastructure that allows thousands of AI agents to interact, communicate, and evolve within complex simulations ,
- LLM Solutions: Design advanced prompting strategies, RAG systems, and tool-use frameworks that enable agents to access information and take actions in their environment ,
- Optimization: Ensure our agent systems can scale efficiently, optimizing for both computational performance and behavioral quality across large populations ,
- Integration & Deployment: Work with our platform teams to deploy agent systems into production environments, ensuring reliability and scalability ,
- Collaborative Development: Partner closely with Data Scientists to implement behavioral models and validation systems, translating research insights into robust technical solutions ,
- Team: Join an early startup team of ex-founders, government advisors, and exceptional engineers who have worked on shaping policy in government, built companies, developed AI systems at DeepMind, and generated profits through predictions as quants and traders at top-tier financial institutions. Work with a diverse set of people such as researchers from top universities like Cambridge, LSE and Imperial, former military commanders, and battle-tested product leaders to tackle the most complex challenge of solving human behaviour.
AI Engineer
Posted 1 day ago
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AI Engineering · London · Hybrid
AI EngineerAbout us
At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows.
Xelix is a fast-paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively, whilst remaining profitable. We have over 100 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun & we love to celebrate a milestone together.
In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.
About the role
We are now hiring for a Mid-Level AI Engineer to join our growing AI Engineering team. This role is an exciting opportunity to leverage state-of-the-art technology, including the latest LLMs and AI technologies, to power our tools and develop impactful new solutions for our customers.
What you'll be doing
- Model Development: design, train, and evaluate end-to-end ML models - from preprocessing to deployment - working with text, vision, and tabular data.
- LLM & AI Systems: build and refine applications leveraging large language models, prompt engineering, and agentic frameworks to solve real-world business problems.
- Production Code: write clean, maintainable Python for AI/ML applications and collaborate with our back-end team to integrate seamlessly into the platform.
- Experimentation & Research: stay current with the latest AI/ML techniques, test new algorithms and tools, and improve upon existing approaches.
- Collaboration: work closely with product, data, and engineering teams to deliver high-impact, customer-facing features.
What you’ll bring
- 2–5 years’ experience delivering ML or LLM-powered features to production, from data prep and model training to deployment and iteration.
- Strong Python skills for AI/ML applications — clean, well-tested code, version control best practice, and smooth integration with back-end systems.
- Hands-on experience with gradient-boosted models (e.g., XGBoost, LightGBM) and/or building LLM-powered systems (e.g. tool/function calling, prompt design, evals) for text-heavy tasks.
- Solid data skills: SQL, pandas, experiment tracking, and cloud deployment (AWS a plus).
- A passion for AI/ML, shown through personal projects, a well-maintained GitHub portfolio, blog posts, or contributions to the AI/ML community.
- Strong collaboration skills — able to work closely with engineers, product managers, and data teams to ship impactful features.
What we offer in return
Competitive salary of £65,000 to £5,000 depending on experience
️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym
Comprehensive private medical & dental cover with Vitality
Enhanced parental leave pay
Learning & development culture – £500 ersonal annual budget
We’re carbon-neutral and are working towards ambitious carbon reduction goals
Lots of team socials & activities
️ Annual team retreat
Want to learn more?
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Interview Process
While the exact process may vary slightly depending on the role, our typical interview stages are:
- Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
- Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team.
- Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach.
- Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office.
We strive to make the process clear, efficient, and respectful of your time.
- Department
- AI Engineering
- Role
- AI Engineer
- Locations
- London
- Remote status
- Hybrid
- Yearly salary
- £65,000 - £75, 0
- Employment type
- Full-time
Contact Rebecca Green Talent Partner – People & Talent
About Xelix
Accounts Payable Control Centre
AI-powered software that bolts onto finance systems to enhance AP controls, automate tedious tasks and deliver meaningful insights.
AI Engineering · London · Hybrid
AI EngineerAlready working at Xelix?
Let’s recruit together and find your next colleague.
AI Engineer
Posted 3 days ago
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OUTSIDE IR35 + REMOTE – UP TOO £500 P/D
Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highly motivated AI/ML DevOps Engineer to join their team on a contract basis.
We are seeking an AI Engineer to rapidly prototype and integrate AI models—particularly foundation models—into real-world systems and workflows. This role requires a strong balance of technical expertise and user-centric thinking to deliver AI solutions that are both effective and usable.
Key Responsibilities
- Develop rapid prototypes using foundation models, APIs, and modern AI tools.
- Design and implement prompting strategies and establish evaluation methods for model behavior.
- Conduct lightweight fine-tuning or model adaptation to align AI outputs with application needs.
- Integrate AI capabilities into existing systems, workflows, and product environments.
- Work closely with user researchers and stakeholders to iteratively improve prototypes based on feedback and usability testing.
- Support the evaluation of AI solutions against technical performance benchmarks and user-defined success criteria.
Essential Skills & Experience
- Proficient in Python, with hands-on experience using APIs and popular ML/AI frameworks such as Hugging Face, LangChain, PyTorch, or TensorFlow.
- Solid understanding of large language models (LLMs), prompt engineering, and vector database concepts.
- Proven ability to rapidly prototype, experiment, and iterate in agile or fast-moving environments.
- Familiarity with AI model evaluation methods, including awareness of bias, limitations, and ethical considerations.
- Strong analytical and problem-solving skills with a bias toward experimentation and iteration.
AI Engineer
Posted today
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AI Engineer - Remote
We're hiring an AI Engineer to help design and build cutting-edge AI solutions with a focus on document intelligence. You'll play a key role in embedding GenAI across the business, starting with tools to support verification teams in extracting and reasoning over complex documents.
This is a hands-on engineering role with a strong focus on LLM-based systems and clean, production-grade Python development.
Responsibilities:
- Build rapid MVPs and evolve them into production-ready services.
- Develop and maintain shared Python libraries with strong architecture, testing, and CI/CD standards.
- Design and deploy LLM-based extraction, RAG, and agent workflows across large document sets.
- Work closely with both technical and non-technical stakeholders.
Required:
- Expert in Python coding
- Solid grounding in software engineering best practices: CI/CD, automated testing, observability.
- Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows).
- Comfortable prototyping quickly (Streamlit, Dash) to test ideas.
- Familiar with MLOps tools like MLflow and model monitoring.
- Strong communicator who can work across teams.
AI Engineer
AI Engineer
Posted today
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AI Engineer
Hybrid | London, England | Engineering
Overview
We are looking for AI Engineers who are passionate about delivering advanced AI solutions into production. This role involves designing, building, and deploying intelligent applications that solve complex real world business problems at scale. You will work directly with enterprise clients on high visibility projects, shaping how organisations adopt and benefit from the latest advancements in artificial intelligence.
Responsibilities
- Collaborate with enterprise clients to understand requirements and translate them into scalable AI solutions
- Design and implement production ready systems using large language models, retrieval augmented generation, and agentic workflows
- Lead the delivery of AI products from concept through to deployment and adoption
- Engage with both technical teams and business stakeholders, ensuring solutions deliver measurable impact
- Stay current with fast moving developments in AI and actively integrate new technologies into solution design
Requirements
- Practical experience in building production grade AI solutions with tools such as LLMs, RAGs, and advanced workflow frameworks
- Strong background in solution architecture and the ability to design robust, scalable systems
- Client facing experience with the ability to communicate effectively across technical and non technical teams
- Track record of delivering projects that combine innovation with tangible business value
- Curiosity and adaptability to work with emerging AI technologies in a rapidly evolving landscape
Benefits
We provide a competitive package designed to support both professional and personal wellbeing, including:
- 25 days of annual leave plus
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AI Engineer
Posted today
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AI Engineer
Hybrid | London, England | Engineering
Overview
We are looking for AI Engineers who are passionate about delivering advanced AI solutions into production. This role involves designing, building, and deploying intelligent applications that solve complex real world business problems at scale. You will work directly with enterprise clients on high visibility projects, shaping how organisations adopt and benefit from the latest advancements in artificial intelligence.
Responsibilities
- Collaborate with enterprise clients to understand requirements and translate them into scalable AI solutions
- Design and implement production ready systems using large language models, retrieval augmented generation, and agentic workflows
- Lead the delivery of AI products from concept through to deployment and adoption
- Engage with both technical teams and business stakeholders, ensuring solutions deliver measurable impact
- Stay current with fast moving developments in AI and actively integrate new technologies into solution design
Requirements
- Practical experience in building production grade AI solutions with tools such as LLMs, RAGs, and advanced workflow frameworks
- Strong background in solution architecture and the ability to design robust, scalable systems
- Client facing experience with the ability to communicate effectively across technical and non technical teams
- Track record of delivering projects that combine innovation with tangible business value
- Curiosity and adaptability to work with emerging AI technologies in a rapidly evolving landscape
Benefits
We provide a competitive package designed to support both professional and personal wellbeing, including:
- 25 days of annual leave plus
AI Sales Development Representative
Posted 1 day ago
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We are dedicated to helping our clients navigate the complexities of the digital world and achieve success through cutting-edge, scalable, secure and affordable solutions.
At the company's heart stands a group of very talented, experienced, and motivated individuals who want to make a positive change and a lasting impact on the tech world.
Position Summary:
We're looking for a AI Sales Development Representative who's energized by connecting with people - whether that's in person at industry events or through smart, strategic outreach.
This isn't your typical behind-the-desk prospecting role. While outbound campaigns (cold email, LinkedIn and calling) will be part of your daily flow, you'll also actively represent the company at conferences, meetups and networking events. Your mission: create new conversations, surface real opportunities and trigger that initial interest in prospective clients - especially those in AI, financial and legal services as well as other innovation-heavy sectors.
What You'll Own & Build
- Own outbound prospecting across legal and financial verticals, using a data-driven and experimental approach to outreach.
- Develop multi-channel outreach strategies (email, cold calls, LinkedIn) to initiate and nurture sales conversations with high-level decision-makers.
- Represent the company at select industry events and bring our mission to life with clarity and confidence.
- Define and refine the early-stage sales pipeline: from lead qualification to discovery and demo handoff.
- Build structured workflows for tracking, follow-up, and conversion using our CRM and sales stack.
- Collaborate closely with leadership to co-create a repeatable, scalable outbound process - you're not just running plays, you're writing the playbook
- Run thoughtful discovery calls that uncover true business pain points and innovation appetite.
- Translate complex AI capabilities into business-relevant benefits tailored to regulated industry contexts.
- Deliver crisp, compelling demos that spark imagination and trust - acting as the bridge between product potential and buyer value.
- Be the eyes and ears of the market - synthesize insights for product and marketing teams to influence roadmap and messaging.
- Help define our Ideal Customer Profile (ICP), refine messaging, and evolve our value proposition with evidence from the field.
What We're Looking For:
- You have relevant experience in a consultative, outbound sales or GTM role - preferably a mix of large-scale tech and startup environments.
- Proven track record in consultative sales roles
- Ideally you've helped define sales processes or built them yourself - and you're hungry to do it again.
- You're deeply curious about AI, not just as a buzzword, but as a toolkit for real transformation. Ideally, someone active in tech communities, events or industry networks.
- Experience in legal or finance verticals is a strong plus.
- Must come from a company where technology drives the business-delivering outcomes, not just products.
- You bring structured thinking, emotional intelligence and storytelling skills to every conversation.
- You're resilient, proactive and driven by the thrill of creation - not afraid of cold starts.
- Excellent communicator (written, verbal, visual) - able to breakdown complex ideas into clear, compelling narratives using real-world examples
Why Join Now?
- Greenfield impact - Be among the first to shape the GTM function of a high-potential AI company.
- Founding team visibility - Work closely with C-suite and product leaders.
- True ownership - From strategy to execution, this is your runway.
- Fast learning environment - Access to cutting-edge AI systems and real-world challenges.
We encourage applications from candidates of all backgrounds and experiences. Our commitment to diversity and inclusion drives our success as a company.
Join our team and become a part of the NexGen Cloud Team, where innovation, collaboration and growth are at the heart of everything we do. If you are a passionate, talented, and motivated individual looking to make a difference, apply now!
Department Sales Role
AI Launchpad Associate (Junior AI Developer)
Posted 2 days ago
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Location: Remote
Salary: £28,000 per annum
Contract Type: Full-time, 12-month fixed term (with potential for a permanent role on completion)
About Us
ICS.AI is the UK's market leader in Artificial Intelligence (AI) solutions for local government, partnering with over 20 councils to revolutionise public service delivery. As a Microsoft-sell partner, we combine cutting-edge AI technology with deep sector expertise to deliver exceptional value through our core solutions: AI Contact Centres, AI Staff Copilots, and Social Care AI Copilots. With our head office in Basingstoke, delivery office in Leamington Spa, and satellite offices throughout the UK, we're transforming how the public sector delivers services.
About the Role
We're seeking a motivated AI Launchpad Associate (Junior AI Developer) to join our AI Launchpad Scheme - a graduate-style programme designed to develop future AI professionals.
In this placement, you'll gain hands-on experience working within our Engineering team, contributing to the design, development, and testing of AI solutions that directly impact public services. You'll get exposure to cutting-edge technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Generative AI, Agentic AI, and Prompt Engineering, while developing practical coding and software engineering skills in Microsoft Azure and .NET environments.
This is a unique opportunity to begin your career at the forefront of AI, learning from experienced mentors and contributing to projects that transform how local government and education services operate.
Key Responsibilities
- Assist senior developers and architects with the design and build of AI solutions using .NET, Azure, and AI frameworks
- Complete development tasks and user stories within project backlogs
- Support in coding, debugging, and testing AI features, including LLM- and RAG-based applications
- Contribute to prompt engineering and fine-tuning activities under supervision
- Help investigate and resolve issues raised during User Acceptance Testing (UAT)
- Prepare and maintain documentation, handover notes, and technical artefacts
- Research and trial new AI approaches (e.g. Generative AI tools, Agentic AI frameworks) under guidance
Required Skills and Experience
- Strong interest in AI, particularly Generative AI and Large Language Models
- Demonstrable coding experience in an object-oriented language such as C#
- Exposure to SQL databases
- Curiosity and adaptability with a willingness to learn quickly
- Clear communication and teamwork skills
- Analytical and problem-solving mindset
- Familiarity with AI tools such as ChatGPT or Gemini (desirable)
- Relevant degree (e.g. Computer Science, Data Science, Software Engineering) or equivalent practical experience
What We Offer
- Flexible and remote working options.
- Enhanced pension scheme (5% employer contribution).
- 25 days of holiday plus