226 to 250 of 1,245 Machine Learning Jobs in the UK

White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds … integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively ...

with real-time image quality checks (e.g. blur, lighting, framing) Ensure stability, performance, and ease of integration Manage SDK distribution and packaging On-device ML deployment Deploy and optimise machine learning models for mobile (e.g. conversion, quantisation, performance tuning) Run real-time vision models directly on-device Ensure … early-stage or fast-moving environments Experience as a sole or lead mobile developer, owning products end-to-end Proven delivery of on-device ML features in production (not just prototypes) Experience building and maintaining SDKs used by external developers Track record of maintaining live apps, shipping features, and fixing ...

Lead Machine Learning Engineer (Generative AI & Agentic Systems) Location: London, UK (Hybrid: 2 days/week … office) Type: 12-Month Contract The Opportunity Are you a hands-on leader in the AI space? We are looking for a Lead ML Engineer to spearhead the design, deployment, and optimization of sophisticated AI models and Agentic Systems . This isn't just about standard predictive modeling ...

organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape … experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

teams, and working directly with clients to implement scalable AI systems that operate in production. What You’ll Be Doing Leading the delivery of ML and GenAI solutions within secure client environments Building, deploying, and optimising LLMs and ML models across cloud or HPC platforms Acting as the technical … scalable solutions Contributing to internal capability growth and innovation across AI offerings Ideal Background Active DV clearance Strong Python development experience in a production ML environment Experience with one or more of the following: RAG (including Graph RAG) Agentic AI systems and architectures Computer Vision/Vision Language Models Audio ...

Serverless cloud environment. You’ll utilise object oriented programming, and package building, having also had exposure to deep learning and other ML based methodologies. The organisation work hybrid, with in person collaboration weekly to foster an innovative and inventive culture, bouncing ideas off each other, breaking things, fixing them … changing the game, needs an experienced Product Manager. You. Permanent| £45,000 - 55,000 per annum| North West Responsibilities Lead a data science/ML oriented team, inspiring and guiding them through the full lifecycle of AI driven feature development. Manage multiple projects across teams, allocate resources and ensure project ...

relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers). Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow). Advanced programming skills in Python. Solid understanding of model training, evaluation, and scaling. Strong problem-solving, analytical, and communication skills. … programming experience (CUDA, Triton, or similar). Track record of publications at top-tier venues (NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV). Experience integrating ML models into production pipelines (e.g., graphics, AR/VR, simulation systems). Contributions to open-source projects or collaboration with research labs. Key Responsibilities Develop ...

Senior AI/ML Software Engineer (C++/C#, Python) Guildford, Surrey (Fully Onsite) £85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical. - Must have a Masters or PhD Degree in a STEM/Computing discipline. - Must work full-time, 5 days a week in the Guildford office. - Must … surrounding areas in Surrey. Your new role We're looking for A Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure ...

large-scale data systems within highly secure environments. This is a hands-on, delivery-focused role where you’ll design, build, and deploy advanced ML and GenAI solutions while acting as a technical leader on client engagements. NOTE: You MUST hold active UK DV (Developed Vetting) Security Clearance … secure HPC environments Leading day-to-day technical delivery across projects and mentoring junior team members Acting as a subject matter expert across ML, AI architecture, and GenAI advancements Building scalable, production-grade data science solutions Working closely with stakeholders to translate complex requirements into technical solutions Driving innovation ...

evolving fraud tactics. We're seeking a passionate and experienced data science leader with a deep foundation in anomaly detection, pattern recognition, and machine learning. You thrive in collaborative environments, possess strong leadership qualities, and are committed to crafting high‐quality, secure software that protects our clients and their … customers from digital deception. Role Specific Job Duties Architect Fraud Solutions: Partner with product & engineering to design and implement high‐performance, scalable AI/ML models to detect and prevent fraud in data‐intensive applications. Drive Innovation: Champion best practices and explore emerging technologies to enhance the fraud detection platform. ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm’s standards of accuracy … projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset‐management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time‐series databases, visualization tools). ...

deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional … travel required) Responsibilities: AI Solution Development Design, build, and deploy AI/ML models and intelligent applications across SBS platforms Develop solutions leveraging: Machine Learning (ML) Natural Language Processing (NLP) Generative AI (GenAI/LLMs) Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment ...

corporate development experience to design, build, and deploy AI‐driven solutions across the deal lifecycle. This role sits at the intersection of advanced machine learning, data engineering, and strategic transactions , supporting high‐impact decisions during acquisitions, integrations, and divestments. You will work closely with investment teams, corporate development … teams to apply AI to due diligence, valuation, synergy modelling, risk analysis, and post‐merger integration. Key Responsibilities Design, build, and deploy AI/ML models to support M&A activities, including: Due diligence automation (financial, commercial, operational, and legal) Target screening and opportunity identification Risk detection and anomaly analysis ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

risk, and decisioning strategies. Developing and enhancing predictive models, including scorecards and other risk-focused approaches. Applying techniques such as LLMs, transformers, and applied ML to real business problems such as automation and decision support. Leading research and development activity for new AI-led solutions and product concepts. Communicating complex … predictive models, including scorecards or similar risk models. Hands-on experience applying AI or machine learning, such as LLMs, chatbots, or advanced ML techniques, to business problems. Strong Python and SQL skills for data analysis and model development. Experience exploring alternative or innovative AI-driven approaches to solve ...

solving skills to collaborate effectively with cross-functional teams. Awareness of security principles and best practices to ensure secure data solutions. Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends. Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar … technical/scientific subject (or equivalent experience). Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning ...

great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real … event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources ...

from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow … into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists ...

role, you will: Parallelise training across multiple GPUs and GPU nodes Develop and containerise robust inference pipelines (Docker, ONNX/TensorRT) Build cutting-edge ML infrastructure to be deployed at scale You should bring: MSc or PhD, with 2+ years of industry experience Strong Python and PyTorch skills Experience with …/distributed) is a plus Experience with Docker, cloud platforms (e.g. AWS), and CI/CD A track record of delivering productionised, scalable ML systems This is a highly collaborative role with real ownership of state-of-the-art ML models. If you are a proactive, autonomous individual who thrives ...

maximise crop yields and minimise resource consumption, working closely with our agronomy experts. Technical skills Strong background in at least one of Machine Learning, Optimisation, Control (Model Predictive Control, Optimal Control, and classical feedback techniques), Reinforcement Learning, Physics Modelling and Numerical Simulation. Experience training Machine Learning ...

Description About the role: As a Machine Learning Engineer with expertise in AI/GenAI and data engineering, you will collaborate with our client's engineering and AI development teams. You will be responsible for building the knowledge, retrieval, and evaluation layer that enables an AI-powered helpdesk ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … essential Programming Experience - Skilled in using programming languages such as Python Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning. Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively. Ethics - Familiarity with ethical considerations and best ...