251 to 275 of 2,185 Machine Learning Jobs in the UK

partner teams; avoid duplication, ensure accountability. Collaborate with Product Managers to embed AI capabilities into broader product strategies. Work closely with Data Scientists, ML Engineers, and MLOps teams to ensure technical feasibility and scalability. Act as the primary liaison between business stakeholders and AI team. Educate stakeholders on AI capabilities … field; advanced degree desirable. Knowledge & Experience Demonstrable experience of AI product delivery/ownership within insurance or financial services. Strong understanding of AI/ML concepts, model lifecycle, and MLOps. Knowledge of ethical AI principles and regulatory frameworks. Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership. ...

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 ...

with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture C Key responsibilities · Deploy machine learning models to production and implement measures to monitor their performance · Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based … Infrastructure as Code tools (e.g. Terraform or CloudFormation) · Strong understanding of data modelling and system architecture · Demonstrable experience on at least one AI/ML project · Knowledge of common machine learning frameworks and models · A good understanding of approaches to monitoring ML models in production · Experience leading ...

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 ...

White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds … integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively ...

with real-time image quality checks (e.g. blur, lighting, framing) Ensure stability, performance, and ease of integration Manage SDK distribution and packaging On-device ML deployment Deploy and optimise machine learning models for mobile (e.g. conversion, quantisation, performance tuning) Run real-time vision models directly on-device Ensure … early-stage or fast-moving environments Experience as a sole or lead mobile developer, owning products end-to-end Proven delivery of on-device ML features in production (not just prototypes) Experience building and maintaining SDKs used by external developers Track record of maintaining live apps, shipping features, and fixing ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

teams, and working directly with clients to implement scalable AI systems that operate in production. What You’ll Be Doing Leading the delivery of ML and GenAI solutions within secure client environments Building, deploying, and optimising LLMs and ML models across cloud or HPC platforms Acting as the technical … scalable solutions Contributing to internal capability growth and innovation across AI offerings Ideal Background Active DV clearance Strong Python development experience in a production ML environment Experience with one or more of the following: RAG (including Graph RAG) Agentic AI systems and architectures Computer Vision/Vision Language Models Audio ...

impact on Wise’s mission and millions of our customers. Our team is responsible for 1) removing bottlenecks from Data Science workflows, 2) providing ML tooling for experiments, 3) developing Wise’s ML Label Platform. Moreover, we are responsible for driving high priority projects from proof-of-concept … service/tooling. We are looking for someone to own the evolution of ML experimentation tooling and label quality – at first for Fincrime teams, then for other squads in Servicing. You will co-own stakeholder management, roadmap, delivery and onboarding. You’re also expected to conduct presentations, demos and workshops ...

Serverless cloud environment. You’ll utilise object oriented programming, and package building, having also had exposure to deep learning and other ML based methodologies. The organisation work hybrid, with in person collaboration weekly to foster an innovative and inventive culture, bouncing ideas off each other, breaking things, fixing them … changing the game, needs an experienced Product Manager. You. Permanent| £45,000 - 55,000 per annum| North West Responsibilities Lead a data science/ML oriented team, inspiring and guiding them through the full lifecycle of AI driven feature development. Manage multiple projects across teams, allocate resources and ensure project ...

relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers). Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow). Advanced programming skills in Python. Solid understanding of model training, evaluation, and scaling. Strong problem-solving, analytical, and communication skills. … programming experience (CUDA, Triton, or similar). Track record of publications at top-tier venues (NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV). Experience integrating ML models into production pipelines (e.g., graphics, AR/VR, simulation systems). Contributions to open-source projects or collaboration with research labs. Key Responsibilities Develop ...

improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data … systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including ...

Description We are looking for aMachine Learning Ops Engineerto help operationalise machine … learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimi... ZIPC1_UKTJ ...

large-scale data systems within highly secure environments. This is a hands-on, delivery-focused role where you’ll design, build, and deploy advanced ML and GenAI solutions while acting as a technical leader on client engagements. NOTE: You MUST hold active UK DV (Developed Vetting) Security Clearance … secure HPC environments Leading day-to-day technical delivery across projects and mentoring junior team members Acting as a subject matter expert across ML, AI architecture, and GenAI advancements Building scalable, production-grade data science solutions Working closely with stakeholders to translate complex requirements into technical solutions Driving innovation ...

evolving fraud tactics. We're seeking a passionate and experienced data science leader with a deep foundation in anomaly detection, pattern recognition, and machine learning. You thrive in collaborative environments, possess strong leadership qualities, and are committed to crafting high‐quality, secure software that protects our clients and their … customers from digital deception. Role Specific Job Duties Architect Fraud Solutions: Partner with product & engineering to design and implement high‐performance, scalable AI/ML models to detect and prevent fraud in data‐intensive applications. Drive Innovation: Champion best practices and explore emerging technologies to enhance the fraud detection platform. ...

science or analytics, with at least 5 years in a leadership or managerial capacity, preferably in financial services or asset management. Deep expertise in machine learning and statistical modeling, hands‐on experience developing and deploying models (e.g., predictive models, NLP, time‐series forecasting) and managing model risk … decision‐making. Preferred Experience Direct experience within an asset‐management analytics or quantitative research team. Hands‐on experience establishing governance processes for AI/ML and familiarity with EU AI Act, SEC guidance on model risk and ethical AI frameworks. Proficiency with advanced analytics libraries and tools used in finance ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm’s standards of accuracy … projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset‐management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time‐series databases, visualization tools). ...

corporate development experience to design, build, and deploy AI‐driven solutions across the deal lifecycle. This role sits at the intersection of advanced machine learning, data engineering, and strategic transactions , supporting high‐impact decisions during acquisitions, integrations, and divestments. You will work closely with investment teams, corporate development … teams to apply AI to due diligence, valuation, synergy modelling, risk analysis, and post‐merger integration. Key Responsibilities Design, build, and deploy AI/ML models to support M&A activities, including: Due diligence automation (financial, commercial, operational, and legal) Target screening and opportunity identification Risk detection and anomaly analysis ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

risk, and decisioning strategies. Developing and enhancing predictive models, including scorecards and other risk-focused approaches. Applying techniques such as LLMs, transformers, and applied ML to real business problems such as automation and decision support. Leading research and development activity for new AI-led solutions and product concepts. Communicating complex … predictive models, including scorecards or similar risk models. Hands-on experience applying AI or machine learning, such as LLMs, chatbots, or advanced ML techniques, to business problems. Strong Python and SQL skills for data analysis and model development. Experience exploring alternative or innovative AI-driven approaches to solve ...

world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much … matrixed environments Ability to lead transformation initiatives, manage ambiguity, and drive alignment in fast paced, evolving environments. Demonstrated experience designing and implementing AI/ML-powered data capabilities, including generative AI applications, predictive audience modelling, and automated decisioning within marketing or data platforms. Practical experience with identity resolution strategies, including ...

solving skills to collaborate effectively with cross-functional teams. Awareness of security principles and best practices to ensure secure data solutions. Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends. Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar … technical/scientific subject (or equivalent experience). Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning ...

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 … Experience leading cross‐functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience ...