1,426 to 1,450 of 1,824 Machine Learning Jobs in London

growth and healthy gross-margin targets. Process & people: Embed OKRs, KPIs, agile rituals, and vendor frameworks that cut delivery time and boost engagement. AI acceleration: Champion new AI/ML projects (panel automation, Gen-AI reporting) and manage tech partners. Governance: Approve new hires and OPEX within an agreed threshold. What success looks like (12 months) 60-70 % of MD More ❯

disadvantaged backgrounds.What They Do Place 6,000+ tech professionals globally, full teams, executives (including CTOs, CIOs), developers, analysts, designers, Agile coaches, and more Support cutting-edge industries: AI/ML, Cloud, Data Analytics, Cybersecurity, IoT, DevOps, AR/VR, Blockchain, UX/UI, and Computer Vision Their service offering spans across contract, contract-to-hire, executive/permanent hiring, Statement More ❯

U.S. (GLBA, SOX, FFIEC, NYDFS)Proven experience leading multi-region IAM transformations in banking or other highly regulated industries. Nice to have Experience with Zero Trust architecture, AI/ML in IAM, or CIEM (Cloud Infrastructure Entitlement Management).Familiarity with financial services IAM use cases such as trading systems, treasury platforms, and customer-facing identity platforms.Knowledge of DevSecOps and IAM More ❯

strategies and the creation of 'north star' representations to drive customer-centric decision-making Preferred qualifications, capabilities, and skills An understanding in data management, data science or AI/ML workflows is preferred. An understanding of client-side technologies, APIs, microservices, and the components of the technology stack, as well as their impact on user experience An intellectually curious and More ❯

based on your skills and experience talk with your recruiter to learn more. Base pay range Direct message the job poster from La Fosse Principal Consultant - Data, AI and ML Engineering Data Architect 100,000 per annum + 58% bonus | Hybrid (2 days/week in Central London office) Are you an experienced Data Architect looking to play a strategic More ❯

at one of London's foremost SaaS scale-ups: Be ready to pioneer the future of AI, data analytics, and technology. Step into PredictX, where we have integrated AI & ML into our products for the past decade, not just following trends but leading innovation. As an Enterprise SaaS provider, we're revolutionising decision-making for many of the world's More ❯

European Expansion Accelerator), and continue to evolve and create ways to bring selection around the world. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business application - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures More ❯

Protocol (PTP, WR) and PPS, and their role in low-latency environments. Experience with network automation tools and frameworks, including Python, Ansible, or similar technologies. Experience leveraging AI/ML-driven tools for network performance optimization, anomaly detection, and predictive analytics. Understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in network automation and monitoring. More ❯

email parsing, e-commerce platforms (Amazon, Target), messaging services, and weather/location APIs. Need experience with RESTful APIs, webhooks, and managing multiple third-party service integrations. - AI/ML Integration & Natural Language Processing - Implement intelligent text parsing to extract party details from emails/calendars, build a gift recommendation engine considering age/budget/delivery factors, and integrate More ❯

keynote. The Verge called it "a solution to all your webcam problems" and users have rated it 4.85 star on the App Store. Camo has sophisticated AI/ML capabilities, and it takes advantage of NPUs on the latest and greatest Windows AI PCs. Reincubate's customers include teams at Apple, Google, Facebook, Microsoft, and Amazon, the world's top More ❯

heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic More ❯

management & troubleshooting Understanding of Cloud Services (beyond M365): (e.g., Azure, AWS fundamentals) Experience with IT ticketing systems Ability to Create and Maintain Technical Documentation An awareness of AI/ML concepts and their potential applications within an IT support or operational context Personal skills Adaptable and flexible Organised and enthusiastic Strong inter-personal and team working skills Willingness to learn More ❯

management & troubleshooting Understanding of Cloud Services (beyond M365): (e.g., Azure, AWS fundamentals) Experience with IT ticketing systems Ability to Create and Maintain Technical Documentation An awareness of AI/ML concepts and their potential applications within an IT support or operational context Personal skills Adaptable and flexible Organised and enthusiastic Strong inter-personal and team working skills Willingness to learn More ❯

that you can make changes happen in large organisations Background in enterprise SaaS, or industrial processes. Technical skills in our stack (Typescript, NextJS, NestJS, Python) Familiarity with AI/ML products for large-scale enterprises Compensation + Benefits £80,000 - £120,000 + equity Visa sponsorship available - We welcome top talent globally and will support the visa process. Please let More ❯

with a knack for building customer relationships and working well in team settings. Experience managing multiple brands or product lines simultaneously. Familiarity with communicating clinical, biotech, or AI/ML-enabled solutions is a plus. About the Company Through the work that we do, the team at Deciphex helps pharma to accelerate the process of essential drug development and helps More ❯

ability to appraise clinical evidence and translate findings into actionable insights or strategy Experience working on cross-functional teams in product, innovation, policy, or research Familiarity with AI/ML in healthcare, medical devices, or regulatory frameworks (e.g. MHRA, GDPR) is highly desirable Why join us? Help lead clinical innovation at one of the fastest-growing digital health companies in More ❯

/SIs; negotiate contracts and SLAs. Facilitate communication between Operations, Sales, Finance, and IT to ensure solutions meet operational needs. AI & Data Innovation Identify opportunities to apply AI/ML (e.g., predictive ETA, dynamic pricing) and coordinate POCs into production. Governance & Compliance Champion security, data privacy (GDPR), and industry standards; maintain comprehensive project documentation. Budget & Resource Management Own project budgets … technology environment; prior logistics exposure desirable but not essential. Track record: Successful delivery of complex system integrations (EDI/API) and customer‐facing web applications; exposure to AI/ML or data‐science‐driven products. Education: Bachelor’s in Computer Science, Information Systems, Engineering, or related field (Master’s preferred). Certifications: PMP, PRINCE2, or Agile/Scrum (CSM/… Frameworks: JavaScript/TypeScript (Node.js, React), Python (for data/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and ML lifecycle management Data: Relational & NoSQL databases, data modelling, ETL/ELT, BI tools Strategic thinker with commercial More ❯

/SIs; negotiate contracts and SLAs. Facilitate communication between Operations, Sales, Finance, and IT to ensure solutions meet operational needs. AI & Data Innovation Identify opportunities to apply AI/ML (e.g., predictive ETA, dynamic pricing) and coordinate POCs into production. Governance & Compliance Champion security, data privacy (GDPR), and industry standards; maintain comprehensive project documentation. Budget & Resource Management Own project budgets … technology environment; prior logistics exposure desirable but not essential. Track record: Successful delivery of complex system integrations (EDI/API) and customer‐facing web applications; exposure to AI/ML or data‐science‐driven products. Education: Bachelor’s in Computer Science, Information Systems, Engineering, or related field (Master’s preferred). Certifications: PMP, PRINCE2, or Agile/Scrum (CSM/… Frameworks: JavaScript/TypeScript (Node.js, React), Python (for data/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and ML lifecycle management Data: Relational & NoSQL databases, data modelling, ETL/ELT, BI tools Strategic thinker with commercial More ❯

learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building … constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency More ❯

learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building … constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency More ❯

period of growth in their London office. In this role, you will join a highly creative, innovative and passionate team of engineers combining the power of Data Science, AI, ML optimization algorithms and automation to enhance human intelligence and solve business problems at scale. A hands-on, highly critical role, youll take on a varied project portfolio: from leading efforts … real-world problems. Skills and Experience Required Practical experience of architecting and delivering cloud-based software engineering frameworks Experience with AWS services in relation to data analytics & AI/ML technologies Deep-level knowledge of cloud-native data technologies, modern data engineering practices, frameworks, etc. Excellent full-stack development skills in Python (or similar programming language) Strong SDLC mindset, plus … API and microservice development Bachelors degree (or higher) in Computer Science or Engineering (or related) Interest in data science, AI and ML disciplines Data mesh framework and implementation Use the latest tools, languages and frameworks Excellent career growth and professional development is encouraged Flexible working and working from home opportunities (2-4 days WFH a week, role dependent) Whilst we More ❯

About our Data & ML team Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry … the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the … in the software development lifecycle, delivering high-quality software through your own work, and fostering a feedback culture within the team. Influence key decision-making across the data and ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS More ❯

track record of leading consumer efforts that drive significant value for customers and the business. You're data-driven and commercial, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact. You can systematically break down and solve complex problems. You have good judgement … excited about our mission at Monzo. You're intellectually honest about your work's performance, continually striving for improvement. You're a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience. The interview process: Our interview process usually involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 … meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion More ❯

Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic … Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact - as the data scientist on the team you … Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous More ❯

language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization. The team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge … from and work with the best researchers in the field. You may be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. Experience writing kernels for GPUs using CUDA, triton, etc Experience using large-scale distributed training strategies. Familiarity with autoregressive sequence models More ❯