22 of 22 Permanent Machine Learning Jobs in Westminster

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

research, road-mapping, and engineering work to deliver world models. When assessing technical background, we take a holistic view of the mix of scientific, machine learning, and systems experience. We do not expect applicants to be experts in all fields simultaneously. Artificial intelligence will be one of humanity … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, Machine Learning ...

client is a leading British bank. Join us at our client as an Integrated Financial Crime Model Developer. You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank. You will work within the Integrated Financial Crime portfolio … robustness, accuracy and performance of existing models. To be successful in this role, you will have experience in the following areas: Strong experience in machine learning and advanced analytics. Advanced Python skills for data processing and model development. Proven experience working with Databricks. Solid software engineering practices, including ...

seeking a Senior Machine Learning Scientist You'll play a key part in designing, building, deploying, and operating production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases In this role you'll: Design, build, deploy, and operate production … grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build and maintain MLOps/LLMOps pipelines (CI/CD, automated ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related … Bachelor's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience. 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow). Experience in one core area: Reinforcement Learning (RL), Post ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective … effort. Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. ...

York. In this role, you'll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate … successful in this role, we're seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding ...

plus the option to buy extra holiday What you'll be doing.... • Building and improving risk pricing models using GLMs and more advanced machine learning techniques • Driving R&D and feature engineering to keep raising the sophistication of the team's models • Monitoring expected loss ratios, risk … ability to explain technical work clearly Experience with Emblem, Radar, Excel VBA or similar pricing software would be advantageous, as would knowledge of machine learning techniques and pricing optimisation. Why you'll love this job... • A team of experienced pricing specialists who make training and supporting new joiners ...

Investment platform data solutions Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing … implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. xehkeey We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes ...

enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted ...

Learning, Mathematics, or a related technical field, or equivalent practical experience. 3 years of experience in Python programming. 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow. Preferred qualifications: Master's degree or PhD in Computer Science, Engineering, or a related field with a focus … machine learning. Experience in Python and C++ for high-performance ML library development. Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI safety evaluation and mitigation. Experience working directly on AI safety, or responsible AI research. Experience building evaluation frameworks, benchmarks, or automated testing pipelines ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience ABOUT US Our client ...

senior and lead analysts by building pipelines, preparing reports, and visualisations Partner with data scientists and engineers to create new features for FinCrime prevention Machine Learning models and integrate with external vendors, and make our risk assessment models faster. Building the framework for managing risk and customer experience ...

SPARQL, LPG, SHACL) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're entering a once-in-a-company moment: a major ...

forward-deployed senior engineer who unlocks AI-driven solutions to business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing … engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature. AI platform capabilities. Work with ...

technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Experience with … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About our client Our client is a leading global professional services company that helps the world's leading businesses, governments ...

SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience in end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration Extensive … have external client-facing consulting experience Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. Broad experience in diverse ML techniques and agentic systems. #LI-MP About our client Our client is a leading global professional services company that helps the world's leading businesses, governments ...

SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About our client Our client is a leading global professional services company that helps the world's leading businesses, governments ...

sales, consulting, AI product roles, or AI-focused innovation. Knowledge within the Finance Services or Areospace and Defence sector. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement skills … technologies. Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. We believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility ...

frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning are key: we expect you to run two tracks in parallel from day one - enable the do-ers , helping the business use AI safely … allowed now and fast risk assessment rather than blanket restriction - and make sure demand arrives through the front door. This role is explicitly not ML model development or data science, general cloud infrastructure ownership, or general engineering delivery - although our squads and engineering leads are customers of the platforms ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. … Minimum qualifications: Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience. 3 years of experience in software development, ML engineering, or ML research. Experience working with research teams. Preferred qualifications: Experience conducting or contributing to applied research to improve the safety and alignment ...