201 to 225 of 1,245 Machine Learning Jobs in the UK

hiring for a Data Scientist to join a growing technology company applying advanced data science and machine learning to complex, real-world problems in a highly regulated environment. The company has built a proprietary analytical platform that has been successfully validated through large-scale, real-world use. … deployment-ready outputs. The position suits an early- to mid-level Data Scientist looking to work on meaningful problems, gain exposure to production-grade ML, and develop technical judgement with support from senior colleagues. Essential Experience Degree in a quantitative or scientific discipline, or equivalent professional experience Hands-on experience ...

Microsoft Fabric and AI-driven data capabilities. This role offers the opportunity to work on a modern data platform while also contributing to how machine learning and AI-driven insights are integrated into production environments. You will play a key role in shaping how data is used across … supporting analytics and reporting Support and enhance Azure Synapse and Azure Data Lake environments Contribute to the migration and adoption of Microsoft Fabric Integrate machine learning and AI-driven outputs into data pipelines Develop and support Power BI datasets and reporting layers Mentor Data Engineers and support best ...

data at scale. Why this role stands out: Strategic ownership of cloud and data platforms across the business Direct involvement in enabling AI and machine learning at production scale Opportunity to modernise integration and developer tooling Strong influence over technical direction and platform investment Hybrid London working with … development through strong APIs and shared platform services Embedding automation, reliability and security into how systems are delivered and maintained Supporting the transition of machine learning from experimentation into real-world usage Growing and coaching engineers while raising overall engineering standards Acting as a senior technical partner ...

fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving … forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across ...

Senior Software Engineer (Python) – Reducing Carbon Emissions with Machine Learning! Python on AWS £90-£110,000 per annum plus stock London Office - 1-2 days a week Are you a Senior Software Engineer with a passion for working with curious, humble colleagues to build exceptional customer-focused products … most exciting scale-ups to find them Senior Software Engineers with exceptional knowledge of building great products in Python on AWS. They use machine learning technology to help tackle climate change by reducing carbon emissions. They are at a critical period in their journey and will be growing ...

Description White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using ...

Description White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using ...

Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high … Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish ...

Machine Learning Engineering Manager We're building a new ML Engineering team and are looking for a strong technical lead to help take our machine learning capability from proof-of-concept to fully scaled, production-ready solutions. Sitting within our Group & Enterprise Services (GES) function, this … data scientists to deploy high-impact models reliably and at scale. You'll combine leadership, architectural thinking and deep engineering skills to shape the ML platform, coach engineers and deliver robust, enterprise-ready ML services. What you'll do * Lead, mentor and develop a small team of ML Engineers * Oversee ...

ML Engineer (Stealth AI Company) About the company We are building a foundational intelligence platform that transforms fragmented, proprietary information into durable institutional intelligence - enabling organisations to reason faster, preserve context, and compound knowledge over time. We are starting with information-dense, judgment-heavy industries where decision-making under uncertainty … organisational knowledge evolves We are intentionally not: a workflow automation tool a chat UI on top of documents a standalone "knowledge graph product" Graphs, ML, probabilistic reasoning, and human-in-the-loop systems are combined to solve a larger problem: How can organisations reason reliably over their own information ...

learning, graph neural networks, generative AI, and retrieval augmented system. Required Skills and Experience: 5+ years of professional experience delivering advanced AI/ML solutions in industry or engineering environments. Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‐Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch … Deep understanding of advanced modelling methods: deep learning, GNNs, computer vision, sensor fusion, vector embeddings, RAG, generative AI . Experience designing AI/ML architectures and providing strategic technical guidance to enterprise clients. Proficiency with cloud compute platforms for training and deployment (Azure, AWS, GCP, or similar). Strong ...

about building systems that generate real-time insights during live sport. Why This Role? Leading global streaming/sports platform Real ownership of ML systems at scale (millions of users) Solving complex real-time + low latency AI problems The Company/Product You’ll be working on a cutting … sport using AI to deliver personalised insights, predictions, and real-time data during live events. What You’ll Be Working On Leading development of ML systems for live sports insights + personalisation Building solutions across Computer Vision, ML, and Generative AI Turning live video + sports data into real-time ...

Senior Staff Machine Learning Engineer (Drug & Target Discovery) — Senior Technical Lead Ready to build the ML backbone behind next-generation human health discovery? We’re partnering on a retained search for a Senior Staff/Principal-level Machine Learning Engineer to lead the design, training … deployment of frontier ML systems across multi-omics, biomarker discovery, target discovery, genomics, and multimodal biomedical data. This is a rare opportunity to translate cutting-edge research into robust, production-grade systems that can improve how new treatments are discovered and developed. We’re looking for senior candidates with deep ...

measurable business value from AI investments. Minimum (essential) Requirements Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised … Desirable Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow), fine tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g., scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source ...

/ML Engineer - AI Startup - London - £60k-£80k A newly established Voice AI startup with multi-million funding, is looking to hire an AI/ML Engineer to focus on their ML pipelines which process very high-volume events at scale. Our client is looking for an individual with significant … experience as either an AI Engineer or Machine Learning Engineer with clear evidence of shipping LLM powered ML products To be suitable for this role you will require the below: Key Requirements Bachelor’s degree in Computer Science, Machine Learning, or a related field Excellent experience ...

deliver real products used by investment teams and portfolio companies. This role is ideal for: PhD graduates in a STEM field with applied ML, optimization, or computational experience; or Bachelor’s/Master’s graduates with 1–2 years of industry experience or relevant internships in machine learning, data engineering, or software engineering. You’ll contribute to designing, implementing, and deploying production-grade ML systems—ranging from NLP pipelines to model‐driven workflow automation. You’ll learn quickly, gain real ownership, and see your work make tangible business impact. What You’ll Do Build and deliver ML ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.* Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.* Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice.* Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience ...

Senior ML Platform Engineer London Rate:£650- £750 Per Day Outside IR35 Work Type: In office 5 days a weekStart: ASAP This is an opportunity to take ownership of a critical ML platform used day to day by data, machine learning, and robotics engineers. You will work … sophisticated platform at the intersection of machine learning, data infrastructure, and robotics. The environment is highly collaborative, bringing together software engineers, ML specialists, and robotics engineers to solve complex, real world problems. Engineering quality, clarity of ownership, and practical impact are core to how they operate. The Role ...

About the Company Omnis Partners are working exclusively with a venture-backed start-up redefining the e-commerce landscape through advanced AI and machine learning . Following a successful Series A raise, the business is entering a rapid growth phase and investing heavily in its data science … join a high-performing data science team working closely with an accomplished Data Science Director, contributing to the design and deployment of impactful ML solutions in production . This role is suited to a well-rounded Senior/Lead Data Scientist with strong modelling expertise—particularly in forecasting, time series ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

business challenges into actionable analytical and AI use cases, ensuring timely and high-quality execution. The data analyst will foster technical excellence and continuous learning in AI, machine learning, and advanced analytics. They will ensure adherence to governance standards, ethical AI practices, and robust model monitoring … analytics, automation, and AI-driven insights. Ensure ethical and responsible use of AI, including bias monitoring and compliance with data governance policies. Foster continuous learning and experimenting in AI, machine learning, and advanced analytics techniques. Monitor performance of AI models and analytics solutions; identify trends, anomalies ...

vehicle logs and simulation outputs to curated, labelled, and model-ready datasets. This includes handling multimodal sensor data, scaling labelling through both human and ML-based workflows, and enabling intelligent selection of high-value data from thousands of hours of real-world and simulated driving. This role sits close … into training-ready datasets Support hand-labelled and auto-labelled data pipelines, including validation and quality control Help build and scale autolabelling systems, where ML models generate annotations across large datasets Support intelligent data curation and selection from thousands of hours of real-world and simulated driving Generate and process ...

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking … engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress ...

complex technical outputs into clear, compelling insights for senior stakeholders. Drive experimentation and optimisation initiatives to improve performance across commercial channels. Champion AI and machine learning innovation, staying ahead of industry best practice. Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring … working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). Experience with data visualisation tools such as Power BI. Strong commercial acumen with the ability to translate business problems into ...

date with its features, capabilities, and roadmap Tungsten Solutions Knowledge : Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction … term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration ...