601 to 625 of 937 Data Science Jobs in England

Senior Software Engineer to work on products used daily by leading global media and publishing organisations. Founded over a decade ago, the company builds data-driven, machine-learning-led products that operate at scale, helping publishers make smarter decisions around content, engagement, and audience growth. This is a hands … platform. The role Build and evolve backend services powering AI-driven products Focus on scalability, performance, and reliability Work closely with Product and Data Science Contribute to architecture and technical improvements Tech Stack:- Java, Python, AWS, MongoDB, MySQL, Kubernetes, Git What they're looking for: 5+ years' backend ...

Senior Analytics Manager to build and lead a brand-new Analytics Centre of Excellence. Having recently invested heavily in a modern Microsoft Fabric data platform and significantly expanded its Data Engineering capability, the business is now entering the next phase of its transformation: placing analytics, AI and commercial … with more than 175 years of heritage helping customers achieve home ownership and financial wellbeing. Today, the organisation is investing heavily in modern technology, data and digital capabilities as part of a business-wide transformation programme. Following the implementation of Microsoft Fabric as its enterprise data platform ...

engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. What … with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. What do we offer: Starting salary ...

golden template' MLOps patterns — model packaging, versioning, monitoring, and compliance gates — that other teams self-serve from Produce technical documentation and runbooks that enable data science teams to operate pipelines without central bottlenecks Communicate parity gaps, governance trade-offs, and migration risk clearly to non-technical stakeholders … CloudWatch/CloudTrail for platform observability and audit AWS Lake Formation and SageMaker Feature Store Amazon VPC/PrivateLink for secure ML endpoint networking Data governance & compliance experience (PII/GDPR) Infrastructure as Code (Terraform/CloudFormation/CDK) What we’ll offer you: We trust people ...

enabling country teams to execute local growth plans — with a primary focus on driving demand. We work closely with marketing, growth marketing, product, communications, data science, and policy at both central and local level to develop scalable, holistic programs across markets. The Difference You Will Make … relevant. Present analysis, insights and actionable plans to the regional leadership team to drive key business decisions. Concretely, this means using and merging available data sources and tools, internal and external to analyze macro and micro trends and define a key problem to solve. Then based on consultation with ...

will guide customers in implementing production-grade ML applications and become a key player in leveraging Databricks' technologies. The ideal candidate will have strong data science and machine learning expertise, excellent communication skills, and experience in a customer-facing technical role. A significant opportunity to contribute ...

container architectures.Security Architecture: Embed DevSecOps best practices and security controls across all infrastructure layers, ensuring compliance with strict security standards.Agile Delivery: Collaborate closely with data science and software engineering teams to deliver iterative infrastructure updates within 2-week agile sprints.Programme Support: Provide technical leadership, architectural documentation, and engineering ...

container architectures.Security Architecture: Embed DevSecOps best practices and security controls across all infrastructure layers, ensuring compliance with strict security standards.Agile Delivery: Collaborate closely with data science and software engineering teams to deliver iterative infrastructure updates within 2-week agile sprints.Programme Support: Provide technical leadership, architectural documentation, and engineering ...

years managing other engineering managers or team leads across multiple teams. Experience working in cross‐functional product engineering teams alongside product managers, designers, and data scientists. London‐based, with the ability to work from our London office on a hybrid basis (typically two to three days per week, adjusted ...

Manager building high‐performing teams and processes. Experience as an individual contributor or leader in the Search domain. Worked closely with Machine Learning and Data Science colleagues. Worked closely with Design and Product as a Product Engineer or Engineering Manager to build rich user experiences. Full‐stack expertise … ownership and a track record of delivery. Thrives on tackling complex, ambitious problems and delivering high‐quality features. Strong decision‐making skills, using data to navigate ambiguity and preference for simplicity and delivery. Strong stakeholder management skills, collaborating with cross‐disciplinary teams to achieve excellent results. Drives positive team ...

Wise is seeking a talented quantitative developer to join our Treasury Markets Data Science team. You will own the quantitative infrastructure powering FX pricing, risk, and trading systems in production, while expanding your scope into traditional quant areas. You will work on a Python-first quant platform, ensuring ...

boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will … LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise ...

generation, usage tracking, automated testing, evaluation and monitoring), including tailored agentic and agent-to-agent patterns. Demonstrated ability to engage directly with client IT, data architecture, and AI governance teams in technically credible discussions about how Circanas solutions integrate into their existing ecosystems. Outstanding communication and interpersonal skills, capable …/or Retail industries with an understanding of the Market Research industry is a strong plus. Masters degree in Business Administration, Information Technology, Data Science, or a related field preferred. What we offer We have a global commitment to diversity, equity, and inclusion as we believe ...

policy and strategy definition across an enterprise environment \n Experience building an AI adoption roadmap/target state \n Experience integrating AI with enterprise data platforms like Databricks and Snowflake \n LangChain and/or LangGraph \n Agentic AI tooling \n\n The following is DESIRABLE, not essential … enterprise-level. You will be familiar with the definition and implementation of policies and strategy. Any background in machine learning and data science would be advantageous but is not essential. \n The team has a hybrid working policy. You would be in the office for 2 days/ ...

practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiativesembedded projects with business stakeholdersto rapidly build and deploy … integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflowsfrom data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure ...

Jellyfish is a full service global digital agency, combining strategy, creative, data and media buying and planning expertise with technology under one integrated roof. With almost 2,000 Jellies across 38 offices worldwide, we are the unconventional global marketing partner of the future. We understand both brand and activation. … ensure our clients reach, influence and connect with the right audiences and fans based on data that reveals the insights to deliver exceptional creative solutions across any platform. In short, we create and deliver culturally relevant creativity that cuts through the clutter and sets hearts (and feeds) on fire. ...

providing advanced technical support in a pre-sales environment. Ideal candidates will have a graduate degree in a quantitative field and significant experience in Data Science and ML. This role is crucial for community engagement through mentoring and driving platform adoption. #J-18808-Ljbffr ...

President – Machine Learning Engineer to advance AI in financial services. Located in Greater London, the role combines technical leadership with responsibilities in building scalable data science capabilities and collaborating with software engineering teams. Ideal candidates have 5+ years in ML engineering, a Masters or PhD in a quantitative ...

Role You'll play a key role in designing and operating a secure, scalable platform for deploying AI workloads and agents. Working closely with Data Science and Engineering teams, you'll ensure robust infrastructure, seamless deployment pipelines, and high platform reliability. Key Responsibilities - Design, deploy, and manage ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...