1,051 to 1,075 of 1,288 Machine Learning Jobs in the UK

talent: screening, running technical and culture-fit interviews, and ensuring smooth onboarding with HR. Culture : Foster a high-performance, collaborative culture that embraces accountability, learning, and experimentation. Governance, Security & Compliance : Take ownership of security leadership within engineering: embedding secure-by-design practices, ensuring data protection, and conducting regular threat …/Family Office background : Able to interface effectively with investors, and meet stretching goals. AI/automation in data : Experience applying AI/ML, OCR, or robotic processes for data extraction, enrichment, or workflow automation. Customer-facing exposure : Ability to engage with enterprise customers or partners in technical pre-sales ...

Minimum 3 days/week in office. Objective: Above Role: The Principal Data Scientist/AI Technical Lead works with established and highly capable ML teams to advance their technical maturity. This role provides deep technical leadership, challenges existing approaches, and helps teams push beyond baseline ML into more advanced … evolved over time Define and promote experimentation frameworks Support: A/B testing Model comparison strategies Reproducibility and governance Strengthen scientific rigour in ML delivery Act as a credible peer to senior and PhD‐level data scientists Confidently challenge and influence technical decisions Balance innovation with business practicality Must‐have ...

Essential Proven experience in technology and AI consulting incl software development with a strong track record of delivering business value Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow) Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker Experience ...

scope, translating business requirements into technical specifications. identify relevant data sources and determine key performance indicators (KPIs). - Data Acquisition and Preprocessing: Work with ML engineers in designing pipelines collecting appropriate data from various sources, cleaning and preprocessing the data, and ensuring data quality. - Model Selection and Training: Design appropriate … training strategies (e.g., supervised learning, reinforcement learning) and appropriate configuring of model parameters. Design and select appropriate ML algorithms and architecture (LLM architecture (e.g., BERT, GPT-3) based on project requirements. - Evaluation and Optimization: Recommend the metrics and design reports used to evaluate the model’s performance using ...

scope, translating business requirements into technical specifications. identify relevant data sources and determine key performance indicators (KPIs). - Data Acquisition and Preprocessing: Work with ML engineers in designing pipelines collecting appropriate data from various sources, cleaning and preprocessing the data, and ensuring data quality. - Model Selection and Training: Design appropriate … training strategies (e.g., supervised learning, reinforcement learning) and appropriate configuring of model parameters. Design and select appropriate ML algorithms and architecture (LLM architecture (e.g., BERT, GPT-3) based on project requirements. - Evaluation and Optimization: Recommend the metrics and design reports used to evaluate the model’s performance using ...

Senior ML/MLOps Engineer (MLflow) | Databricks | Azure) About Optima Partners We’re an advanced data & business consultancy helping major consumer brands transform through data-driven customer strategy, design, and engineering. Our clients include leading UK and global brands across financial services, retail, and more. Join a practitioner-led, fast … growing team delivering ML systems that actually make it into production. We’re growing our engineering team and looking for an MLOps Engineer who loves building real, production grade ML systems not just proof‐of‐concepts. If you enjoy working across the full ML lifecycle and have strong MLflow experience ...

build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms. … Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit : Website or LinkedIn Page. Role: Cloud Data Architect (AWS) Experience Level: 8+ ...

world impact. We’ve been recognized with 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner … Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Role: Cloud Data Architect Experience Level ...

development for one of our most critical pods. The work speaks for itself: a Single Customer View built on Treasure Data, advanced analytics and ML in Databricks, and real-time omnichannel activation through Braze. The programme consistently beats its commercial targets — YoY by an average of over 34% across … certifications — AWS preferred; Azure or GCP equally welcome. Familiarity with GDPR, consent management and data governance in a marketing context. Exposure to AI/ML use cases applied to customer data — personalisation models, churn prediction, LTV, next-best-action decisioning. Why this role matters This client ...

mentor teams toward business goals. Advanced Governance Concepts: Strong command of data management and governance principles, including hierarchy and survivorship rules. AI/ML Application: Experience using AI/ML tools for documentation automation, market trend analysis, and optimization of data‐matching or data‐cleansing logic. Visual Communication: Skilled … process. WHAT WE OFFER Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing. Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. ...

intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium … end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures ...

contexts, designing and implementing policy enforcement, safety controls, behavioural monitoring, and evaluation frameworks. This work sits at the intersection of platform engineering, AI/ML systems, and compliance-by-design architecture. You'll be joining at a pivotal moment as Aveni scales from startup to enterprise-grade AI FinTech, working … Strong Python expertise in production environments Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge) Experience working with LLMs or AI/ML systems Strong understanding of APIs, async systems, and scalable architecture Nice to Have Experience with AI safety, guardrails, or policy enforcement Background in agentic systems ...

variety of open-source, commercial, and bespoke solutions. Leadership & Mentorship: Lead a team of Quality Engineers, providing technical advice and supporting their professional learning and development. Technical Authority: Provide expert guidance on test strategies, tools, and architecture, forming close relationships with engineering leads and stakeholders. QA Health Checks: Perform …/CD, release management, and pipeline implementation (Jenkins, Azure DevOps, GitHub Actions). Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Industry-recognised certifications in programming languages ...

Title: AI Engineer Location: London, UK Job Description 2–4 years of IT experience, ideally with exposure to AI/ML concepts. Understanding of: Generative AI and Agentic AI AI product workflows and how AI components integrate into domain-specific use cases Retrieval-Augmented Generation (RAG) fundamentals and context engineering … change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys ...

Head of Data & Analytics, you will design, develop and maintain secure, high-quality data pipelines that enable trusted reporting, analytics, and future AI/ML development. This is a rare opportunity to influence architecture, engineering standards, automation and governance within a co-managed delivery model. You will work across structured … including: 34 days annual leave (including public holidays) Access to earned pay before payday Company pension scheme Generous occupational maternity/paternity pay Ongoing learning and development opportunities Health Cash Plan after probation (covering dental, optical, therapies, maternity/paternity, prescriptions and more) Opportunities for career progression ...

engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical … regulated financial services What we're looking for A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what ...

understand requirements, translate technical outputs into business insight, and support decision-making in real time AI & analytics enablement: Support the integration of AI/ML capabilities into live systems and workflows to improve automation, detection, and insight generation Iterative delivery: Build and refine solutions based on live client feedback, maintaining … ambiguous, fast-paced environments with evolving requirements A proactive, delivery-focused mindset with strong problem-solving ability Nice to Have Exposure to AI/ML workflows or applied data science in production environments Experience working within defence, public sector, or financial crime/risk domains Reference: AMC-AQU-FSDED Postcode ...

analytics platforms, with a particular focus on Databricks. You will define end‐to‐end data solutions that support AI Coach analytics and AI/ML use cases, ensuring scalability, performance, security, and data quality. Key Responsibilities: Architecture & Design Work with existing Insight Databricks team to design and own the enterprise … analysts to translate requirements into scalable data solutions. Contribute to the data strategy, roadmap and architecture principles to support analytics, BI, and AI/ML initiatives. Required Skills & Experience: Technical Skills Strong experience as a Data Architect, Senior Data Engineer, or similar role in data-intensive environments. Advanced SQL skills ...

analytics platforms, with a particular focus on Databricks. You will define end‐to‐end data solutions that support AI Coach analytics and AI/ML use cases, ensuring scalability, performance, security, and data quality. Key Responsibilities: Architecture & Design Work with existing Insight Databricks team to design and own the enterprise … analysts to translate requirements into scalable data solutions. Contribute to the data strategy, roadmap and architecture principles to support analytics, BI, and AI/ML initiatives. Required Skills & Experience: Technical Skills Strong experience as a Data Architect, Senior Data Engineer, or similar role in data-intensive environments. Advanced SQL skills ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies Knowledge of banking processes: retail banking, lending, payments, compliance Strong experience designing end to end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring Hands on expertise with cloud AI platforms (GCP) Strong knowledge of LLMOps practices, including ...

Senior Front End Developer (TypeScript, React) - AI/ML Platform (Sheffield) We're looking for a Senior Front End Developer to shape and scale modern web applications for a fast-growing AI/ML platform based in Sheffield. You'll play a key role in building intelligent, user-focused digital ...

advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML ...

PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers … What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat ...

improve processes, tolls and team practices while fostering a culture of learning and growing. The Tech Stack includes Golang, React/Typescript, various ML models, MySQL, F#, Docker images deployed on a Kubernetes cluster in our cloud infrastructure (GCS, AWS or Azure) and Github CI/CD. Qualifications Bachelor ...