551 to 575 of 2,709 Machine Learning Jobs in London

design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI and software projects. You will act as a technical expert … deliver practical, innovative outcomes, this is your chance to shape our future. What you'll be doing Setting the technical direction for complex ML and software projects, balancing trade-offs, and guiding team priorities Architecting, implementing, and maintaining reliable, scalable ML/software systems, and justifying key architectural decisions. Defining ...

MONY Group Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision-making. … platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across MONY Group. AI-assisted engineering is an important part of the role, but we do not expect candidates to arrive ...

system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impactExperience leading, coaching or managing data scientists, ML engineers or closely related ...

week in the London office. The Role: Manage and enhance GCP infrastructure Support Azure cloud environments Enable the deployment and operation of AI and ML solutions Develop and maintain CI/CD pipelines and Infrastructure as Code Collaborate with cloud, AI, and innovation teams to drive adoption of new technologies … working Requirements: Strong experience in a similar role Expertise in Google Cloud Platform (GCP) Experience with IaaC tools (ideally Terraform) Exposure to AI/ML environments Strong communication skills and a collaborative mindset Desirable: Azure experience Python or Scripting skills Experience in a regulated environment About You: Bright, curious ...

week in the London office. The Role: Manage and enhance GCP infrastructure Support Azure cloud environments Enable the deployment and operation of AI and ML solutions Develop and maintain CI/CD pipelines and Infrastructure as Code Collaborate with cloud, AI, and innovation teams to drive adoption of new technologies … Requirements: Strong experience working as a Cloud Infrastructure Engineer in a multi-cloud environment Experience with IaaC tools (ideally Terraform) Exposure to AI/ML environments Strong communication skills and a collaborative mindset Highly Desirable: Expertise in Google Cloud Platform (GCP) Desirable: Python or Scripting skills Experience in a regulated ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale. You will be responsible for shaping and implementing the technical roadmap ...

will play a leading technical role in the design, development and deployment of AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value.This is a hands-on engineering role … Engineering, Operations and Product organisations.# ## **WHAT YOU'LL BRING:**Essential Experience* Extensive software engineering experience delivering production-scale solutions.* Experience building AI or machine learning systems in enterprise environments.* Demonstrated experience moving AI solutions from proof-of-concept into production.* Strong understanding of software architecture, engineering standards ...

Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also … architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish ...

better, for the next client. Technology leadership: You will take a client's business opportunities and pain points and match them to the right ML, AI or data engineering solution. You possess the technical depth required to engage in discussions regarding solution architecture and implementation details with a client … teams together. Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you can move fluidly between the strategic and the technical. A track record ...

seeking a Principal Machine Learning Scientist to lead the core discovery engine for ranking, retrieval, and recommendations. You will define the ML strategy, build scalable systems, and mentor a high-performing team across machine learning, MLOps, and experimentation. You will drive multi-task models, graph-aware ...

Platform working against their real data and workloads, not slideware. Meet technical buyers on their own ground across modern data engineering (Spark, Delta, streaming), machine learning, and Generative AI, and integrate cleanly with their existing cloud and open-source stack. Move at start-up speed: qualify quickly, prove … Java, and a willingness to learn (or existing knowledge of) Spark. Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine-tuning, LLMOps). Experience with the modern data stack and open-source data tooling, and with ...

impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. About the roleJoin us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your … projects and deliver practical, innovative outcomes, this is your chance to shape our future. What you'll be doingSetting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities. Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions. Defining project ...

part of your day-to-day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI-assisted operations, and responsible AI practices. The Cloud Architect is a subject matter expert in one or more categories that … vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns. Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI-assisted cloud operations. Experience with cloud ...

existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process. Build and maintain relationships with clients ...

governance, security and quality standards. Leading and mentoring a team of Data Engineers. Collaborating with Data Scientists, Analysts and Product teams to support analytics, machine learning and AI initiatives. Driving platform performance, scalability and cloud cost optimisation. What's On Offer? Salary up to £110,000. Hybrid working … ownership of a modern Databricks platform. Opportunity to influence architecture, tooling and engineering standards. Leadership responsibilities with a growing engineering team. Exposure to AI, machine learning and large-scale data initiatives. Key Experience Required Proven experience as a Senior or Lead Data Engineer. Deep expertise in Databricks, Spark ...

Responsibilities: Design and deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable … deployments and integration into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache ...

business. We are seeking a commercially focused and technically accomplished Director of AI to lead the design, implementation, and scaling of enterprise AI, machine learning, and cloud data platforms across the UK and Ireland. Reporting to the UKI Transformation Director, this role combines strategic leadership with deep hands … data or technology leader with proven experience delivering large-scale AI and data transformation programmes. Strong hands-on technical understanding across AI/ML, Generative AI, Agentic AI, data engineering, MLOps, cloud data platforms and enterprise architecture. Experience operating across multi-cloud environments, ideally including GCP, AWS and open-source ...

ReqID:FEQ327R501Location: LondonSkills: Data Science, Machine Learning, AI, LLM, GenAIMissionAs a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers … architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will haveArchitecting Workloads: Design ...

refactoring, and performance optimization to contribute to advanced AI research and evaluation projects . You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with … Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization . Develop reproducible environments ...

excited about the opportunity to take ownership for building AI within a high-performance, mission-focused team. You will be working with AI/ML models and deploying them within our software products, both running in the cloud and on edge devices in the field. The role will also encompass … science, artificial intelligence, machine learning, robotics or a related engineering field 4 years of relevant experience researching and applying modern AI/ML in areas such as scene understanding, multi-modal sensing, control and path planning, or vision-language understanding. The ability to write clean and maintainable code ...

blog posts, and white papers. You will also have the opportunity to work with our product and engineering teams to build new statistics/ML features for all of Optimizely’s products. You will have also have the opportunity to partner with experts in academia and research to explore … Optimizely should invest in. Job Responsibilities Product and Feature Development Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the platform. ...

create measurable value. Rapidly prototype, systematically test and iterate solutions with customers, incorporating user feedback to improve value, usability and adoption. Apply data science, machine learning and AI techniques, including modern generative AI and agentic approaches where appropriate, to solve customer problems. Combine ICIS data, domain expertise … Required:3-5 years of experience in Data Science, Applied AI, Analytics or a related field. Proven track record of developing and delivering analytical, machine learning or AI solutions from concept through deployment. Experience evaluating and applying modern AI approaches, including large language models, retrieval-based systems ...

leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering—building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises … both remote and in-person team members and stakeholders The Team You’ll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across ...

Data Scientists and Engineers. You will take ownership of the platform that enables us to transition from complex exploration to full-stack, production-grade machine learning products, ensuring our solutions are high-performing, scalable, and seamlessly integrated into diverse client environments. What you'll be doing: Taking ownership … solutions for our global clients. Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment of machine learning. Who we're looking for: You are a Software Engineer who is passionate about building internal tools and takes pride in creating ...

will play a leading technical role in the design, development and deployment of AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value. This is a hands-on engineering … stakeholders across Engineering, Operations and Product organisations. WHAT YOU'LL BRING:Essential ExperienceExtensive software engineering experience delivering production-scale solutions. Experience building AI or machine learning systems in enterprise environments. Demonstrated experience moving AI solutions from proof-of-concept into production. Strong understanding of software architecture, engineering standards ...