651 to 675 of 3,269 Machine Learning Jobs in the UK

foundations behind our AI-driven financial solutions. You will be responsible for designing, building and maintaining the software infrastructure that supports our large-scale machine-learning applications. Your work will directly influence the reliability, scalability and performance of the proprietary tools used by our clients. This … work both from the office and remotely as needed. What you will do Design, build and maintain robust software infrastructure for large-scale machine-learning applications. Troubleshoot complex technical issues across software and infrastructure. Manage and optimise databases supporting AI-driven financial solutions. Improve programming workflows and system ...

work and finding a balance between perfection and practicality.FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization … including strong knowledge of database structure and efficiency.* Proficiency in the following version control language: Git* Proficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy* Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.* Experience ...

hands-on role within our team. You’ll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient … evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you’ll do: Build highly available automation workflows ...

Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs … balance technology choices while delivering high-quality work within deadlines Leading architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non-technical) in partnership with ...

C++, with C# also in the estate. Around it sit custom electronics with their own firmware and embedded operating systems, AI and machine learning workstreams, and an emerging interest in connected and cloud enabled services. Cyber security, and the Cyber Resilience Act in particular, is a live … exposure to Python, .NET, Java or SQL welcome Experience architecting software that controls physical hardware. This is not enterprise software. The code drives a machine that does something in the real world, and it has to interact properly with electronics, sensors and mechanics Demonstrable experience operating as a software ...

Providing technical leadership across key domains in data and AI*** Demonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies … you.* Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environments* Experience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerations* Demonstrated experience advising senior stakeholders and building trusted relationships across business ...

technology and development principles Proficiency in modern cloud platforms, especially AWS, with experience designing and managing scalable cloud-based solutions Experience integrating AI and machine learning technologies into software solutions Proven skills in database design, optimization, and maintenance, ensuring data integrity and performance Demonstrated experience leading teams using … such as Scrum or Kanban Advanced knowledge of software application development and technical processes in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Experience applying expertise and new methods to solve complex technology problems Ability to present and communicate effectively with senior leaders ...

Product Analytics, Decision Science, Applied Science or related fields. Experience using data to influence product or business decisions. Strong understanding of statistics, experimentation and machine learning. Experience delivering end-to-end analytical projects. Experience working in cross-functional product teams. Demonstrated ability to communicate complex findings clearly. Technical Skills … Python and SQL Statistical analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research or decision science. Experience with pricing, scheduling, forecasting or resource allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools ...

Opportunity The Data Science team is growing at 9fin! We are doing world‐class work with groundbreaking technologies to build data‐driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … Discovery : Ability to design systems that identify comparable companies, relevant precedents, analogous situations, and related transactions using both graph structure and content signals. Graph Machine Learning : Familiarity with graph embeddings, node similarity, clustering, community detection, link prediction, and relationship scoring techniques. Production Data & Platform Engineering : Experience building ...

technical stakeholders Contribute to improving AI development practices and tooling through feedback and suggestions Learning & Growth Stay current with AI/ML developments, emerging frameworks, and best practices Learn from more experienced engineers and contribute knowledge back to the team Participate in capability‐building activities and knowledge‐sharing sessions … proficiency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and familiarity with containerization (Docker, Kubernetes) Solid understanding of ML fundamentals, model evaluation, and performance optimisation Good communication skills with ability to collaborate effectively across teams Data engineering capability, including working with datasets, ETL pipelines ...

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs … balance technology choices while delivering high-quality work within deadlines Leading architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non-technical) in partnership with ...

Overview At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision‐making. We work across product, business and platform teams using analysis, experimentation, causal inference and machine learning techniques. Data Scientists report into the data science ...

demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Key Responsibilities Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

DevOps Engineer to build and own the infrastructure that underpins our AI‐driven materials discovery platform. You'll work directly with world‐renowned ML researchers and software engineers to accelerate real scientific breakthroughs by making model training, experimentation, and deployment fast, reliable, and reproducible. This is a foundational hire. … configuration, job scheduling, and cost optimisation. Build and maintain CI/CD pipelines that support rapid model iteration, automated testing, and safe deployments. Support ML workflow orchestration; experiment tracking, training run management, and data pipeline reliability. Ensure reproducibility across research and production environments through containerisation and rigorous environment management. Define ...

demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Key Responsibilities Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they ...

needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering continuous learning and improvement. Your Day to Day Lead advanced deep‐dive analyses to produce clear narratives on key business questions. Apply sophisticated quantitative methods such … machine learning, causal inference, synthetic controls, difference‐in‐differences, and propensity score matching. Build and evolve customer segmentation frameworks to reveal behaviorally distinct cohorts. Analyze cross‐product engagement impacts on retention, monetization, and long‐term value. Monitor key consumer funnel metrics across products, segments, and geographies. Develop business ...

Overview AI/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment … monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active area of UK ML hiring in 2025–2026. Responsibilities Train, evaluate, and deploy machine‐learning models in production. Work across LLMs, computer vision, recommender systems ...

improved decision making on the trading desk. The analysis team develop and run a wide range of forecasts, using different methods such as machine learning, optimisation.**What you’ll be doing**Shell Energy Europe is looking to hire a data scientist to support the Power Fundamentals team … experience:* Have a graduate qualification in an analytical or science-based discipline e.g., engineering/maths/computer science and ideally a PhD in machine learning, optimisation or equivalent* End-to-end experience with data, including querying, aggregation, analysis, and visualization* Strong competencies in Python for data analysis ...

Prometheus, Grafana or New Relic Exposure to distributed systems and event‐driven architectures Experience working within consulting or client‐facing environments Familiarity with GenAI, machine learning or data platforms Please note: We offer flexible hybrid working, but candidates should be based in Northern Ireland and able to attend … culture vibrant. Time to Recharge: 35 days holiday, enhanced maternity pay, and family‐first policies so you can focus on what matters most. Learning Never Stops: From courses to certifications, we’ll invest in your development so you can keep growing and shaping what’s next. Community & Culture: Opportunities ...

modelling ideas into reliable systems used by real users. The Opportunity As a Senior Machine Learning Engineer, you'll own critical ML systems from end to end, taking ideas from experimentation through deployment, monitoring, and continuous improvement in production. Areas of responsibility include: Building core ML systems that … world constraints including cost, performance, reliability, and safety What They're Looking For The team is interested in engineers who have built and shipped ML systems used by real users. Examples of relevant experience include: Model training and evaluation Production inference systems PyTorch or JAX GPU-based training and inference ...

design and review infrastructure, and your instinct for security and reliability makes the whole platform better.* You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You’re the person who understands what they need, builds the right foundations, and makes sure … across the organisation* Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams* Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles* Lead incident response and root cause analysis ...

your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach … analysis of collaboration and audit artefacts.* Competence with scripting or automation languages (e.g. PowerShell, Python, SQL) for forensic workflow optimisation.* Exposure to AI and machine learning applications in forensic and eDiscovery contexts (e.g. triage, clustering, anomaly detection, generative summarisation).* Experience integrating forensic outputs within wider eDiscovery, incident ...

experience delivering production solutions, supported by a portfolio or real-world examples. Strong interest in AI, automation and emerging technologies, with evidence of continuous learning and experimentation. Experience making architectural and technical decisions independently. Hands-on experience building and deploying AI solutions using modern AI platforms and large language … Azure Functions, Azure AI Search, Semantic Kernel, Microsoft Agent Framework or similar technologies. Experience with data modelling, governance, security and enterprise architecture. Exposure to machine learning, predictive analytics or forecasting solutions. Relevant Microsoft or cloud platform certifications, such as AI-102, AI-103, AB-620 or equivalent. ...