2,426 to 2,450 of 7,734 Machine Learning Jobs in the UK

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial …/EPOS, digital, social and loyalty. AI Delivery Excellence – Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions. Programming Experience - Skilled in using programming languages such as Python Cloud Expertise - Knowledge of cloud platforms and tools ...

evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal‐level technical leadership. Hands‐on experience … building and shipping AI/ML products in production Deep practical experience with LLM‐based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands‐on expertise with vector databases, graph databases, and knowledge graphs End‐to‐end exposure in model lifecycle development, including extensive experience training ...

post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelinesFamiliarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasetsExcellent written and verbal communication skills to collaborate effectively in a cross-functional environmentNice to haves:Experience working at a startup, particularly ...

including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch Please note During periods where we receive very high ...

OpportunityThe 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 to accelerate …/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape and agentic ...

design discussions and supporting client engagements with technical expertise. You will deliver end‐to‐end solutions, from building data pipelines and deploying AI/ML workloads to provisioning infrastructure and automating deployments through CI/CD. This is a London‐based role. Responsibilities Implement, deploy, and maintain Google Cloud infrastructure … maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer Implement and support AI/ML platforms on Google Cloud, including Vertex AI, Model Garden, and Gemini‐based tooling, contributing to Agentic AI solutions Support cloud migration and modernisation initiatives using lift ...

responding to observed needs, strengthening reliability, and increasing practical value for Sales & Trading stakeholders.What do you need to succeed Must-haveProven experience building Deep Learning or Machine Learning models in production environments.A post-secondary degree in Physics, Mathematics, Quantitative Finance, Computer Science or a related quantitative discipline … unsolicited resumés. Please contact the Recruitment function for additional details.Job SkillsBig Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product DesignAdditional Job DetailsAddress:100 BISHOPSGATE:LONDONCity:LondonCountry:United KingdomWork hours/week:35Employment Type:Full timePlatform:CAPITAL MARKETSJob Type:RegularPay Type:SalariedPosted ...

looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow … Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience operating in complex hybrid environments, spanning public cloud, private cloud and on‐premise platforms. Experience building automation and engineering tooling using Python, Go, or similar ...

maintenance of ETL pipelines, services and APIs, and data-related infrastructure like Redshift or BigQuery; Data Science and Machine Learning: data exploration, ML models training and ML Ops to extract new insights from data; Analytics and Reporting: creation of data models and dashboards as well as automation … Flask API, add unit tests, and deploy the new version of the API into our production Kubernetes cluster; Train and evaluate an ML model to identify certain user patterns and provide it as service to other engineering teams in a Flask API; Team Tech Stack Our current technology stack primarily ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work … insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. #J-18808-Ljbffr ...

beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

standards, and emerging risk practices, and translate them into actionable program enhancements. You’ll need to have: 10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI. 4+ years of experience directly focused …/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability ...

industry standards, and emerging risk practices, and translate them into actionable program enhancements.You’ll need to have:10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI.4+ years of experience directly focused …/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems.Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing.Demonstrated ability to assess ...

delivery and continuous improvement.Support vendor evaluation and strategic technology partnerships where appropriate.What You BringSignificant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines.Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments.Strong understanding of product … facing teams.Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities.Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data-driven product development would be highly beneficial.Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments, Channels ...

engineering consultancy delivering cutting-edge solutions across the Defence, Security and Government sectors . This is an excellent opportunity for A I Engineer, Machine Learning Engineer, Data Scientist or Algorithms Engineer to combine hands-on technical delivery with technical leadership, customer engagement and business development. Working alongside multidisciplinary … teams of engineers and scientists, you'll lead the design and delivery of advanced AI, Machine Learning and Algorithmic solutions , helping solve complex challenges for Defence and Security customers. Responsibilities: Lead the technical delivery of AI, Machine Learning and Advanced Algorithm projects. Act as technical lead ...

continuous improvement. Support vendor evaluation and strategic technology partnerships where appropriate. What You BringSignificant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines. Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments. Strong understanding … Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities. Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data-driven product development would be highly beneficial. Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

automate office tasks within the Finance function. This is accomplished with the full suite of existent and emerging digital technologies, e.g. cloud computing, machine learning, digital robots and AI/copilot-enabled programming. Work with the Finance Transformation team, and the Finance Automations Product Manager, to ensure that …/or Power Query) Experience in presenting data analysis and creating reports Experience in Power BI report creation and maintenance Experience in ML-based data analysis and decision-making Understanding of the importance of data modelling for modern digital solutions, especially machine learning analysis Working Methods Ability ...

improvement. Support vendor evaluation and strategic technology partnerships where appropriate. What You Bring Significant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines. Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments. Strong understanding … Strong analytical, problem‐solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities. Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data‐driven product development would be highly beneficial. Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

automate, or accelerate parts of the simulation workflow (e.g. automated case setup, intelligent meshing decisions, workflow orchestration across CAD-mesh-solve-post) AI/ML for model training and inference - how machine learning models are trained on simulation data and used for fast inference (e.g. surrogate/reduced … order models, ML-assisted design space exploration) You don't need deep expertise in both - authentic curiosity and working familiarity with either is a strong differentiator on top of solid CFD fundamentals. Key Responsibilities The Application Engineer is expected to work closely with current and potential customers to understand their ...

innovative Data team. You will join a collaborative team of data andAI engineers, scientists, developers, analysts, and architects. Together, youwill design and build modern machine learning and AI services that supportanalytics and improve products across the business. Main Responsibilities for the Senior Data Engineer: Buildand support data products … standards Maintainorchestration, monitoring and performance of data components Improveengineering processes across the wider data community Promotehigh coding and data practice standards Experimentwith emerging data, ML and AI technologies Partnerwith architects on data product designs Workcollaboratively in multi-functional agile squads SupportML and GenAI infrastructure and workflows Skills and experience ...

Data applications) to join our growing team and help build the Applications with REST API endpoints to provide recommendations based on data pipelines, ML Model and infrastructure that power analytics, machine learning, and drive business and customer insights across the company. In this role, you’ll contribute … cases.The ideal candidate is a strong technical contributor who enjoys working with building software and data applications at scale, solving practical problems, and continuously learning in a fast-paced environment. If you’re excited by this challenge and want to work within a dynamic company, then we’d love ...

cell sequencing, proteomics or advanced bioimaging data. Track record of publications or conference presentations in relevant scientific areas. Experience building automated pipelines and applying machine learning in biology. Demonstrated leadership of projects and mentoring of junior staff. Work Pattern This position is offered as hybrid working, combining time … Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering Germany Salary Range Gehaltsbandbreiten Deutschland: EUR 74,250 to EUR 123,750The annual gross base salary range for new hires in this position ...