526 to 550 of 1,141 Machine Learning Jobs in the UK

Proven ability to troubleshoot complex data pipelines and platform issues Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian) Exposure to Machine Learning, Generative AI, and Agentic AI Strong … stakeholder engagement and collaboration with BI/analytics teams Nice to Have: Experience within the Energy/Utilities sector Hands-on experience with Azure ML or advanced analytics platforms Prior involvement in large-scale data transformation or data strategy programmes If you're interested in this role, click 'apply ...

Deliver clear handover documentation outlining model status, limitations and recommended next steps. Your Skills & Experience Strong experience building, maintaining and productionising data science and machine learning models. Confident working with Python … modern analytics or data science environment. Solid SQL skills and experience using transformation frameworks such as dbt. Experience working with cloud-based data and ML platforms such as Databricks. Comfortable owning existing models, improving reliability and driving stakeholder adoption. Familiarity with version control using Git. Exposure to customer analytics, retention ...

Academy Education Network Ltd is seeking an AI/ML Engineer to build, evaluate, and deploy machine-learning systems. You will work with data preprocessing, model training, and deployment using technologies like PyTorch and TensorFlow. The role involves collaboration with key players in the UK AI landscape, focusing ...

Head of Machine Learning to define and lead the strategy within its Core Experience product area. The position involves managing multiple ML teams and driving impactful projects related to search, payments, and conversational AI. Candidates should have significant ML leadership experience, budget management skills, and a strong ability ...

traction and are now operating at enterprise scale. Their products are widely adopted across industries, with a strong focus on innovation in AI and machine learning. The environment is collaborative, product-led, and focused on delivering measurable outcomes. The Role Define and build evaluation frameworks to measure the performance … commercial experience in data science or product analytics within a product-led organisation Advanced proficiency in Python and SQL Experience working with AI or machine learning products, particularly NLP or text-based data Strong understanding of experimentation, evaluation frameworks, and statistical analysis Ability to work with large, complex ...

processes, collaborating across teams to resolve data issues in a timely and effective manner.Tool Evaluation & Implementation: Evaluate, select, and implement market-leading AI/ML automation platforms and technologies to support all data quality initiatives.Stakeholder Collaboration: Work closely alongside business stakeholders, data stewards, and IT teams to understand technical data … field, with proven experience implementing automation and AI for data profiling, cleansing, and standardisation.Tool Proficiency: Proficiency in AI-driven data automation tools, understanding of machine learning principles, and exceptional capabilities in SQL, spreadsheets, and other data analysis tools. (Experience with Google applications is a plus).Governance & Standards ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Senior Engineering Managers at Lendable are a unique group of humans … identify and resolve bottlenecks quickly and efficiently. Skilled in building high-performing teams, with experience in skills assessment, cross-training, and fostering a continuous learning and improvement culture. Ability to strategically guide technical decisions without being a blocker, with familiarity in technical debt management, architectural planning, and quality assurance ...

Group is seeking a Head of AI Infrastructure & Machine Learning Operations based in the United Kingdom to drive innovation in AI and ML systems. This senior strategic role involves creating scalable and secure infrastructures aligned with regulatory standards. The ideal candidate will possess strong leadership skills in cloud ...

experience, ideally FreeRTOS Experience with embedded communications protocols Strong debugging and problem-solving skills Nice To Have Nvidia Jetson Embedded Linux Edge AI/Machine Learning TouchGFX IoT connectivity Embedded cybersecurity ...

architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. Hybrid position in the City of London ...

years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding ...

communication skills * Ability to translate data into meaningful business insights * Experience working with large datasets and delivering actionable recommendations * An interest in AI, machine learning or automation technologies * Experience within Retail, Ecommerce, Consumer or Multi-site businesses would be advantageous If you're looking for a role where ...

Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. What ...

recommending changes where appropriate Desirable - Experience designing Azure-based Customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging. Understanding of Machine Learning/AI applications for Customer personalization. Familiarity with capabilities supported by Databricks for Customer data processing. Experience with Agile delivery methodology Review ...

recommending changes where appropriate Desirable - Experience designing Azure-based Customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging. Understanding of Machine Learning/AI applications for Customer personalization. Familiarity with capabilities supported by Databricks for Customer data processing. Experience with Agile delivery methodology Review ...

Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. What ...

supporting a cutting‑edge deep‑tech company in London that is building full‑stack photonic quantum systems designed to transform how organisations run machine learning, generative AI, and large‑scale optimisation workloads. Their technology is already deployed in multiple real‑world environments, and they’re now entering ...

supporting a cutting edge deep tech company in London that is building full stack photonic quantum systems designed to transform how organisations run machine learning, generative AI, and large scale optimisation workloads. Their technology is already deployed in multiple real world environments, and they re now entering ...

technical teams, helping others understand what AI can (and can’t) do in production. What they’re looking for Strong experience deploying machine learning or LLM-based systems into production. Hands-on experience working with LLMs (e.g. GPT, Claude, Gemini), including prompt engineering, orchestration, evaluation and safety considerations. ...

test new product concepts Perform hardware validation, debugging, and performance optimisation Support manufacturing, certification, and production readiness activities Work closely with software, mobile, and machine learning teams to ensure seamless hardware-software integration Contribute to future product roadmaps and technology strategy Required Skills & Experience Degree in Electronics Engineering ...

. Experience designing and implementing data governance, security, and compliance in a highly regulated environment. Experience contributing to open‐source data projects. Familiarity with machine learning and AI concepts and their application in data management and analysis. Knowledge of emerging agentic technologies and their implications for data architecture. ...

scalability are essential Technology Environment The engineering stack includes: Python C++ Linux Distributed Systems Cloud Infrastructure Data Platforms Market Data Technologies Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering. Required Qualifications ...

hardware/software co-design; expertise in one or more of: digital signal processing; wireless PHY design; error-correcting codes; adaptive signal processing; machine learning applied to communications systems; experience conducting RF or over-the-air testing in laboratory environments; familiarity with Linux-based embedded development environments ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...