176 to 200 of 1,245 Machine Learning Jobs in the UK

Scientist (Machine Learning) Salary: Up to £52,000 D.O.E Location: Fully remote (UK) Are you a Data Scientist who wants to build ML models that deliver real-world impact from Day one? If so Our client is looking to hire a Data Scientist to join a brand … them, and continuously improve them through automated retraining pipelines as new data flows in. What You'll Be Doing: Build and deploy highly accurate ML models using large-scale datasets Create automated training pipelines that continuously improve model performance Work closely with Data Engineers and DevOps to productionise models ...

intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior … proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around … 3+ years of experience working as a data scientist (or similar role). Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models ...

looking for a Machine Learning … Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. You'll work across the full ML lifecycle, collaborating with data, engineering, and product teams to turn ideas into robust, scalable solutions. Responsibilities: Develop, train, and optimise machine learning models ...

Software Development, you will oversee the architecture, development, and delivery of all software components, spanning web applications, backend systems, and Machine Learning (ML) infrastructure. You will also be a key partner to the heads of Hardware, Design Engineering, and Animal Science, ensuring software is seamlessly integrated with physical … team while collaborating with cross‐functional leaders to drive innovation. Responsibilities Technical Leadership Define, implement, and scale the software architecture across web, backend, and ML systems. Maintain strong engineering standards for code quality, security, testing, and deployment. Lead key technical initiatives, contributing code and architecture reviews. Drive integration of software ...

substantial open‐source work) Hands‐on deep learning experience Strong Python skills and experience with PyTorch Ability to independently design, run and evaluate ML experiments Experience working with complex datasets and rigorous evaluation Genuine interest in human attention, perception or behaviour Clear communication skills and comfort working … robotics Multimodal or temporal modelling Egocentric video, eye‐tracking or behavioural data Foundation model fine‐tuning or evaluation Research engineering and reproducible ML pipelines You are likely to enjoy this role if you: Are curious about how humans perceive and interact with the world Are comfortable with ambiguity and open ...

implementing data-driven solutions to solve business problems Work with structured and unstructured datasets to perform data cleaning, preprocessing, and analysis Build and evaluate machine learning models under guidance from senior data scientists Conduct exploratory data analysis (EDA) and present actionable insights Collaborate with cross-functional teams including … recently completed a degree in Data Science, Computer Science, Statistics, Mathematics , or related field Strong foundation in Python (Pandas, NumPy, Scikit-learn) Understanding of machine learning concepts (regression, classification, clustering) Experience with data visualization tools (Matplotlib, Seaborn, or similar) Familiarity with SQL and working with databases Strong analytical ...

developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. ...

Data Engineer (AI Enablement) to join the SAFEHR team.We are solving hard problems: building the secure, modern data infrastructure that lets advanced research and machine learning move from theory into reality. You will design data pipelines, evolve our data warehouse and metadata capabilities, prototype machine-learning … Well versed in Git and modern data-engineering development standards, including code reviews, automated testing and data validation. Proven track record deploying and monitoring machine learning solutions on clinical datasets (e.g., risk stratification, patient flow, phenotyping), including validation, drift monitoring, and adherence to clinical safety and data governance ...

Reliability Engineer An exciting opportunity for a Site Reliability Engineer to join an award-winning, Cambridge-based AI software company at the forefront of machine learning innovation. As a Site Reliability Engineer, you will play a key role in maintaining and enhancing cloud infrastructure, monitoring systems, and deployment … processes, ensuring the reliability, scalability, and security of a sophisticated machine learning platform deployed across cloud environments. Location: Cambridge, hybrid working model 3 days in office not easily reachable via public transport from London Salary: £40,000 - £60,000 per annum, depending on experience Requirements for Site Reliability ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … needs of GS engineers. Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms) Provide technical guidance and support to other team members and stakeholders. Stay up to date with the latest industry trends ...

contexts. Working closely with the founders, you will influence both the technical roadmap and future diversification into new application areas. Key responsibilities include: Developing machine learning and computer vision models focused on human attention, perception, and intent Designing and running experiments independently across visual and spatial data Working … leading academic venues while working on applied problems Your Skills and Experience PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field Strong publication record, ideally at venues such as CVPR or ICCV, or equivalent ...

help unlock the value of its data. This is a hands-on role where you'll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights. You'll have the freedom to own problems … Doing Designing and building data science solutions using Python Exploring datasets to uncover trends, patterns, and opportunities Applying statistical methods and machine learning techniques to solve business challenges Using clustering and segmentation to enhance analysis where relevant Translating technical outputs into clear insights for a range of stakeholders ...

want to build AI systems that let users query complex datasets in natural language? Have you worked with machine learning models and wondered how they can power conversational analytics? Are you ready to apply LLMs and advanced analytics to financial market data? A London-based AI software company … financial users Key Details • Salary: £65,000 – £70,000 • Working model: Hybrid, 1 day per week in Canary Wharf, London • Tech stack: Python, ML algorithms, NLP, LLMs, AWS • Visa sponsorship: Not confirmed Interested? Please apply below. ...

implementation of AI solutions, helping Ridge unlock new levels of value, efficiency and insight through intelligent automation, advanced analytics and machine-learning capabilities. In this role, you will be instrumental in driving the discovery of AI opportunities across our various disciplines. You will collaborate closely with project teams … coding languages such as Python Demonstrated experience with low-code no-code platforms, preferably within Copilot Studio Proven experience with delivering AI and machine learning projects Experience spanning small, isolated implementations to larger org-wide initiatives Experience in data analysis, machine learning and AI development Hands ...

need someone who can build and deliver, not someone who has only experimented on the edges of AI. You will ideally bring: AI/ML engineering experience in production environments LLM development and orchestration experience Python development Cloud platform experience across AWS or Azure or GCP End-to-end delivery … your workload and move initiatives forward Cybersecurity knowledge is not essential. That can be taught. The non-negotiable is deep AI and machine learning expertise. What Youll Work With You will work across a modern AI and product environment, with plenty of room to influence standards and tooling ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results. Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes. Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes. Building trust and credibility with clients as an analytical consultant. Regular iteration on our machine learning methodologies, tools, and frameworks. Consistent demonstration of technical excellence and commercial insight in all project deliverables. Measurable contribution to the enhancement ...

will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands-on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders … pipelines supporting trading and analytics use cases Ingest structured and unstructured data from diverse internal and external sources Support predictive analytics, systematic trading, and machine-learning workloads Partner closely with Data Scientists and Trading teams to deliver high-quality datasets Contribute to cloud-native data platforms using modern ...

architecture across complex programmes Designing scalable cloud‐based data platforms and AI solutions that align to business goals Providing technical leadership across data engineering, ML and analytics delivery Establishing architectural standards around data modelling, governance, quality and security Working closely with senior stakeholders to translate business needs into technical roadmaps … Mentoring engineers and architects while promoting best practice and innovation About the Candidate The right Data Architect should have: Strong experience in data architecture, ML architecture or advanced data engineering roles Deep understanding of cloud platforms and modern data architectures Proven ability to design and govern large‐scale data ...

Build and maintain scalable data pipelines and ETL processes Engineer data workflows and decision‐support tools on Palantir platforms Work on applied AI and machine‐learning use cases Deliver Palantir implementation and advisory work across enterprise clients Combine software engineering expertise with strategic problem‐solving Work directly with … maintainable solutions Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases Collaborate with colleagues on analytics, AI, and machine‐learning initiatives Mentor junior engineers and contribute to engineering best practice Build trusted client relationships and support long‐term transformation outcomes Key Requirements ...

development and advanced analytics while building and scaling a high-performing, multidisciplinary team. You will oversee the end-to-end development and deployment of machine learning models and predictive analytics, while also managing the Business Intelligence (BI) and Data Analysis functions. This is a high-impact role requiring … support international expansion. Key Responsibilities Technical Leadership & Data Science Execution Design, build and deploy predictive models, pricing algorithms, and segmentation frameworks. Apply statistical modelling, machine learning and experimentation techniques to real‐world business problems. Use Python, R and SQL for data exploration, feature engineering, modelling and evaluation. Select ...

cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will … Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management ...

high-impact analytics and innovation team. This is a fantastic opportunity for a data professional who is passionate about using advanced analytics, AI, and machine learning to influence strategic decision-making at scale. The Opportunity As a Senior Data Scientist, you will play a key role in transforming … services organisations. Key Responsibilities Analyse large, complex datasets to uncover trends, patterns, and insights that inform strategic decisions Design, develop, and deploy statistical and machine learning models to solve business problems Apply AI and advanced analytics techniques to enhance decision-making and operational efficiency Write high-quality, production ...

clients and support the sales cycle. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds … sales team, playing a key client-facing role in driving sales conversations forward, delivering Proof of Concepts, and supporting live customer engagements for a machine learning platform Location: Central London - 3 days in office/2 days remote Salary: Competitive + bonus + healthcare, pension, etc. Requirements ...