1,126 to 1,150 of 1,324 Machine Learning Jobs in the UK

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users. Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability. Work on ML model development with our team to build robust data pipelines and deploy ML models. Analyse large corpora of data and build real-time recommendation systems. ...

want to build production-grade ML systems powering the clean energy transition? Have you deployed and scaled ML models on AWS in real-world environments? Are you ready to take ownership of MLOps in a fast-growing cleantech scale-up? A rapidly scaling London-based energy tech company is building … tech, deep data capability and strong industry partnerships to accelerate the shift to sustainable transport. The Data team is now expanding to support growing ML workloads. They’re hiring an MLOps Engineer to own and scale ML infrastructure across computer vision and broader DS/ML use cases. This role ...

doing Designing and building distributed systems for large-scale compute workloads Scaling Python-based services across clusters and cloud environments Working on ML infrastructure/platform tooling (training, orchestration, or inference pipelines) Improving performance, reliability, and fault tolerance across distributed environments Collaborating closely with data scientists and ML engineers … Python skills (production-level) Experience with frameworks like Ray, Spark, Dask, or similar Exposure to Kubernetes/containerised environments Nice to have Background in ML infrastructure, data platforms, or backend systems ideal Familiarity with PyTorch/TensorFlow in production environments Experience building internal platforms or developer tooling Cloud experience ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

performance. The team has delivered pricing optimisation systems, cost modelling platforms, and store analytics tools for global retailers - blending commercial strategy with hands-on ML and engineering. You’ll lead technical delivery of solutions that touch everything from supplier negotiations to customer experience design. Expect to work in cross-functional … projects from idea to value. They’re hiring at Lead (3–5 years) and Principal (5–10+ years) levels. Key Responsibilities • Build and deploy ML tools for pricing, operations, and layout optimisation • Translate commercial priorities into robust, data-driven solutions • Partner with client stakeholders to iterate and embed ML ...

support strategic decision-making and ensure the consistent delivery of high-quality, high-impact AI solutions. Responsibilities Lead the design and delivery of AI, ML and Generative AI applications across major digital transformation initiatives. Translate business and technical objectives into engineering roadmaps and implementation strategies. Develop scalable AI systems using … model performance. Collaborate with cross-functional teams to ensure seamless integration of AI capabilities into existing platforms. Skills and Experience Proven experience developing AI, ML or Generative AI applications within complex environments. Strong expertise in Python, LLMs, prompt engineering and model evaluation. Experience with AWS cloud services - particularly Bedrock, Lambda ...

data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants. If you are driven by curiosity and a desire to make a real impact, this is an excellent … building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. The role ...

systems. Responsibilities Develop and maintain production software for HiveSight Work with embedded and edge systems (e.g. sensors, cameras, Jetson) Build and optimise data pipelines, ML/AI models, and analytical tools Contribute to system architecture across hardware–software boundaries Support deployment in real-world field environments (UK and international) Contribute … Essential Strong Python and general software engineering fundamentals Experience beyond pure software, with at least one (preferably two) of: Embedded systems/hardware integration, ML/AI/statistical modelling, DevOps/backend infrastructure Experience building and shipping real systems (not just tutorials or prototypes) Appropriate attitude toward AI assistants ...

with auditors, external assessors, and customer security teams. Nice-to-Have Prior experience building security functions in a fast-growing SaaS or AI/ML-driven company. Knowledge of AI-specific compliance and risk frameworks (NIST AI RMF, EU AI Act). Benefits Join a pioneering joint venture … intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field. ...

Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls. Demonstrated ability to benchmark … communication skills, including senior-level engagement. Commercial awareness and a value-driven mindset. Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. ...

structured data representations (tables, graphs, schemas) Build training, simulation, and evaluation environments for long-horizon, multi-step agent behavior Develop self-supervised and reinforcement learning objectives for improving agent reliability and correctness Integrate foundation model embeddings and symbolic components into agent workflows Own agent systems end-to-end, from … engineering problems MSc/PhD in Mathematics, Physics, Computer Science, or a related field Strong hands-on experience building LLM-based systems with modern ML tooling (PyTorch, Ray, JAX) Experience designing agentic systems (planning, memory, tool use, multi-step reasoning) Strong understanding of transformers and foundation model behavior Comfortable owning ...

systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions. What Youll Do Design, build, and integrate AI applications into end-to-end workflows. Embed agentic … capabilities and translate them into practical, high-value implementations. What Were Looking For Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems. Hands-on experience with LLMs, AI services, or agentic AI frameworks. Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability. ...

secure coding standards. Collaborate with the Lead Full Stack Developer to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance within the team. Troubleshoot and resolve complex technical issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 10+ years of commercial software … design. Hands-on experience with AWS platform. Excellent communication skills, capable of motivating and aligning technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: Exposure to startup environments. Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank ...

/B testing and cost or latency dashboards. Contribute to broader AI architecture and help shape engineering patterns and strategy. Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production. SKILLS AND EXPERIENCE The successful Lead AI Engineer will have the following … skills and experience: Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling. Strong Python skills and experience developing APIs and production AI systems. Hands on experience with ...

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in London. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong … essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in London. You will inherit a team of 3, comprising ...

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong … essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You will inherit a team of 3, comprising ...

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect … essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You will inherit a team of 3, comprising ...

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data … essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You will inherit a team ...

leadership across AI architecture, model design and deployment. Oversee project delivery, ensuring alignment to KPIs and strategic outcomes. Mentor and line-manage AI/ML and Automation professionals. Work closely with stakeholders to uncover opportunities and translate needs into solutions. Ensure governance, security, ethics and compliance are embedded in every … Automation Lead, you will have: At least 2 years' experience leading AI, Automation or data science teams. Strong understanding of AI/ML concepts, architecture and real-world applications. Proven record of delivering AI solutions end-to-end. Solid knowledge of data governance, security and compliance. Ability to translate business ...

collaborative, remote-first environment where you can take real ownership, influence architectural decisions, and play a key role in developing next-generation data and ML pipelines. THE COMPANY: They are a specialist AdTech organisation focused on advanced data analysis and audience insight. Their platform processes billions of data points … Engineer, you will Build and enhance distributed data pipelines capable of handling huge-scale datasets. Develop and maintain the data architecture that underpins their ML and AI workflows. Work across Python or Go Improve data marts and ensure data integrity across the platform. Work closely with engineering and data science ...

collaborative, remote-first environment where you can take real ownership, influence architectural decisions, and play a key role in developing next-generation data and ML pipelines. THE COMPANY: They are a specialist AdTech organisation focused on advanced data analysis and audience insight. Their platform processes billions of data points … Engineer, you will Build and enhance distributed data pipelines capable of handling huge-scale datasets. Develop and maintain the data architecture that underpins their ML and AI workflows. Work across Python or Go Improve data marts and ensure data integrity across the platform. Work closely with engineering and data science ...

collaborative, remote-first environment where you can take real ownership, influence architectural decisions, and play a key role in developing next-generation data and ML pipelines. THE COMPANY: They are a specialist AdTech organisation focused on advanced data analysis and audience insight. Their platform processes billions of data points … Engineer, you will Build and enhance distributed data pipelines capable of handling huge-scale datasets. Develop and maintain the data architecture that underpins their ML and AI workflows. Work across Python or Go Improve data marts and ensure data integrity across the platform. Work closely with engineering and data science ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe … guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Collaboration ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this … guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Collaboration ...