26 to 50 of 1,161 Machine Learning Jobs in the UK

organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance. We are currently supporting a high-growth organisation seeking … Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies. You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice ...

Machine Learning Engineer, Video Quality Analysis London, United Kingdom | Posted on 11/25/2024 We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking a Machine Learning Engineer, Video … they deliver accurate, efficient, and reliable results in near real‐time. Key responsibilities: Develop detectors using advanced computer vision and machine learning (ML) techniques. Optimize solutions to ensure low latency and cost‐effective operation at scale for customers. Apply deep knowledge of the Machine Learning lifecycle ...

role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python (e.g. pandas, scikit-learn, NumPy, TensorFlow/PyTorch) Proven experience in model productionisation … deployment in real-world environments Hands-on experience with MLOps, including CI/CD for ML, versioning, and monitoring Experience with cloud platforms (e.g. AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine ...

hands-on engineering role, working closely with data scientists, analysts, architects, and product teams to productionise models, build data pipelines, and embed ML capabilities into live services. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Machine Learning Engineer within central government … regulated environments Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools ...

Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits … learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software ...

Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real-world scientific problems. You will drive the development … one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems ...

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning the full lifecycle – from model development and deployment to monitoring and iteration. Deploy models into production environments, handling the integration and operationalisation … ML within wider systems and applications. Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation. Collaborate closely with data analysts, engineers, and other stakeholders to define new tools, enhance workflows, and support innovation across teams. Communicate findings, recommendations, and model outcomes to both technical ...

Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

that supports machine learning workflow execution and deployment. Optimise data processing systems for throughput, scalability and efficiency. Collaborate closely with Data Engineers, ML Engineers and Research teams to deliver high-quality datasets and platform capabilities. Identify and resolve bottlenecks, performance issues and system failures. Contribute to engineering best … collaboration skills. Desirable Experience Experience working within large-scale data or platform engineering environments. Exposure to machine learning infrastructure, pipelines or production ML systems. Experience supporting data processing frameworks, orchestration platforms or workflow tooling. Familiarity with JVM-based distributed systems. Experience working within highly scalable cloud or distributed ...

then implementing them into scalable production software, rather than purely research-focused individuals. We are looking for someone with significant commercial experience in AI, machine learning or software engineering environments. You will work on a broad range of AI challenges spanning multimodal AI, machine learning, computer … from a top university is advantageous Achieved AAA at A Level or international equivalent Proven commercial experience in software engineering, AI engineering, machine learning or closely related areas Strong programming ability with confidence in quickly learning new technologies and languages. While the role currently uses Go, Kotlin ...

prioritisation, guide investment decisions and act as the senior authority for Machine Learning & AI capability across the business. Key Responsibilities Defining the ML & AI vision and strategy across the Cards business Leading production ML systems across recommendations, ranking, search and personalisation Driving measurable commercial outcomes including conversion, engagement … Shaping customer-facing AI capabilities including LLM-powered and generative experiences Setting technical direction across modelling, evaluation and ML lifecycle management Partnering closely with Product, Engineering and MLOps teams Improving scalability, observability and speed-to-production across ML systems Leading and developing a high-performing team of ML specialists ...

Lead Data Scientist | Cardiff/Remote | AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data … Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. ...

solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/… scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments ...

Role: Machine Learning Engineer Location: Lincolnshire Working Arrangement: Hybrid Salary:Up to £90k Are you an AI/ML Engineer who enjoys solving complex real-world problems where machine learning directly impacts operational outcomes? We're looking for an experienced engineer to join a specialist team … generation AI and machine learning capabilities for advanced signal processing and automation challenges. You'll work on projects that combine cutting-edge ML techniques with practical engineering, helping transform large volumes of complex data into actionable intelligence. This is an opportunity to work on highly innovative programmes where ...

data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: AI/ML Researcher Location: Great Baddow (Hybrid 2/3 days onsite) Who we are Join BAE Systems and you’ll be part of something bigger. … applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking for an AI/ML researcher to join the Knowledge and Semantics team within our Data and Decision Support Capability You will have the opportunity to work with colleagues across ...

fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.Product Manager III, GenAI & ML PlatformThe GenAI and Machine Learning Platform team is responsible for building and scaling the internal capabilities that power AI-driven innovation across … will help bridge strategy and execution, supporting both roadmap delivery and the day-to-day orchestration required to bring impactful AI/ML products to life.In this role, you will:Define and support the execution of product strategy and roadmap for GenAI and ML platform capabilities, aligning investments with business ...

harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain. System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance. Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high … ensure our solutions are maintainable and scalable. Skills & Experience Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices. Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready ...

outcomes. You will help shape AI strategies, design innovative solutions, and lead delivery from initial concept through to deployment and optimisation. Leveraging expertise across Machine Learning, Generative AI, Natural Language Processing, Computer Vision, and Advanced Analytics, you will develop solutions that improve decision-making, enhance customer experiences, optimise … aligned to organisational objectives • Lead the delivery of AI solutions from proof of concept through to production deployment and optimisation • Design, build, and implement Machine Learning, Generative AI, Natural Language Processing, and Advanced Analytics solutions • Conduct experimentation and model evaluation to validate approaches and improve solution performance • Translate ...

Active SC required We're hiring an experienced SC-cleared Data Scientist to support a high-profile central government programme delivering advanced analytics and machine-learning solutions. This role is focused on turning complex datasets into predictive insight and deployable models that directly inform policy and operational decision … understanding of machine-learning techniques (supervised, unsupervised, model evaluation) Experience with MLOps practices, including: Model versioning and deployment CI/CD for ML workflows Monitoring and performance management Experience working with cloud-based data platforms ( AWS and/or Azure ) Strong statistical knowledge and ability to explain complex ...

recruiter directly. Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

Recursion's drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models, you will ensure our ML models can operate at massive scale across our supercomputing infrastructure, both on prem and in the cloud. You will work cross-functionally across ML engineering … data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions. In This Role You Will: Enable AI/ML, LLM, and Agentic Systems teams for scale – The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers to train ...

Director of Machine Learning Science to lead our Content AI strategy and execution.In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image …/GPT, RAG pipelines, PEFT/LoRA fine-tuning). You understand the challenges of hallucination, latency, and cost optimization.Proven experience in the Content ML/AI space, specifically regarding Content Understanding , Moderation, Generation and Relevance , creating rich and immersive user experiences.A proven track record of taking high-risk, high ...

role of patents in providing a window into who is leading technology innovation, where, and at what pace. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is transforming how actionable insights are extracted from patent data. Information can now be accessed … aspects of the delivery process - from scoping support through to project delivery. The primary responsibility of this role will be the training of machine learning classifiers using patent data across a variety of technologies and industries. This supervised learning process is conducted using the proprietary LexisNexis Classification ...