1,026 to 1,050 of 1,176 Machine Learning Jobs

NumPy, SciPy, Pandas, etc.) Experience working with hardware or lab-based systems (or similar environments) Experience with GUI development (or a strong interest in learning) Solid understanding of software development practices (version control, testing, documentation) Strong problem-solving ability and clear communication Nice … Have (Not Essential): MSc or PhD in a relevant field Experience building clean, intuitive user interfaces Knowledge of data analysis techniques (e.g. signal processing, ML, clustering, regression) Experience optimising or debugging scientific/technical code Previous start-up or industry experience Environment London-based life sciences start-up Collaborative, multidisciplinary ...

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 … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring a Staff Backend … gRPC Our Tech Stack Languages: Go Databases: MongoDB Messaging & Orchestration: Temporal, Kafka APIs: REST, gRPC, protobuf Infrastructure: Kubernetes, GCP Observability: Grafana stack AI/ML: LLMs (OpenAI, Gemini), RAG systems Development Tools: Claude Code, AI-assisted development workflows What Success Looks Like In your first 6 months, you will have ...

data and technology services to clients across both the public and private sectors. You’ll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands-on experience … Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes-based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets. Participate in code reviews and internal knowledge-sharing sessions. Provide guidance to junior engineers ...

help catalyze insurance ecosystems for the benefit of the society. Global Insurance expertise and a customer centric approach Vertical focused and technology enabled Learning Organization People – First Culture Location – London, UK Role: Product Manager/Owner Experience – 10-15 Years About the Role We are seeking an experienced Product … Professional insurance designations (CPCU, AIC, or similar) Experience with API-first architectures and system integrations Knowledge of InsurTech trends including automated underwriting, Gen AI & ML applications, and digital distribution channels Understanding of actuarial concepts and rating algorithm implementation Experience with cloud-based Insurtech solutions and SaaS/PaaS delivery models ...

public sector stakeholders to deliver measurable change. With a strong track record in complex, regulated environments, they’re now scaling their capability across ML, NLP, and advanced analytics. As a Data Scientist (Lead/Principal) , you’ll work on projects that directly impact patient care and system efficiency. Recent work … fall prevention, combining structured data and clinical notes to trigger early interventions and reduce hospital admissions. Key Responsibilities • Build and deploy data science, ML and NLP models for healthcare and social care use cases • Work with structured data and unstructured clinical datasets • Partner with stakeholders to design and deliver ...

building and scaling data practices in complex regulated environments. Essential Skills & Experience Proven senior leadership in data strategy, enterprise data consulting, AI/ML capability development or data practice leadership within professional services or technology consulting Demonstrated success building and scaling multi-disciplinary data and analytics teams (from inception … growth consulting environments Deep technical fluency across modern data and AI stacks including cloud-native architectures (Azure, AWS), data platforms (Databricks, Snowflake, Microsoft Fabric), ML/AI tools (MLflow, LLMs, RAG pipelines, vector stores) and analytics technologies (Power BI, Tableau) Experience reviewing end-to-end data programmes and defining future ...

/ELT pipelines and integration strategies. Ensure solutions meet NHS standards (FHIR/HL7), patient data sensitivity, and governance requirements. Provide architectural leadership on ML workflows and data platform modernisation. Collaborate with stakeholders and engineering teams to translate business needs into robust, future-proof data solutions. Desirable skills/knowledge … data pipelines and architectures. Deep understanding of ETL/ELT design and data modelling (star schema/lakehouse). Knowledge of ML workflows (basic to intermediate). ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this … guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Collaboration ...

Java Architect (with Capital Markets exp.) Project description We are building an end-to-end client lifecycle management solution, where technology drives procedural automation and standardization. Our solution includes industry-leading modules and tools widely ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise the link between AI-powered biological discovery and real-world clinical outcomes. This role sits across biological … discovery and scalable ML engineering. You will own key parts of the end-to-end architecture from data to model to evaluation to deployment, and work closely with ML engineers and software engineers to productise the platform into client-ready outputs. This is a senior role with significant autonomy ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability Work on ML model development with our team to build robust data pipelines and deploy ML models Analyse large corpora of data and build real-time recommendation systems ...

selective group of engineers. No bureaucracy, no endless approvals, just high ownership, rapid iteration, and a genuine expectation to ship. This opportunity offers accelerated learning , early ownership, and exposure most engineers don’t get until much later in their careers. Top engineers are drawn to environments like this … chance to fast-track your career in a meaningful way. Experience Required Educated to at least degree level in a relevant field (Maths, Stats, ML, Engineering, etc.) 4+ years in AI/ML engineering, or strong software engineering background with a move into AI Proven experience deploying LLM or agent ...

Looking For MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms. ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure. Infrastructure as Code: Knowledge of IaC tools such as Terraform and Helm. Cloud ...

delivering cutting-edge AI solutions. You'll shape architecture, engineering standards, and delivery outcomes across high-impact projects while working with modern AI/ML tooling, cloud technologies, and scalable engineering practices. Technical Lead - AI Responsibilities: Lead AI-focused architecture, design, and engineering delivery across client engagements. Oversee … implementation of AI/ML solutions, from concept through to production. Act as the senior engineering authority, ensuring high-quality outputs across wider teams. Establish best-practice engineering ecosystems, including CI/CD pipelines, automation, developer tooling and QA methodologies. Maintain expertise across modern tech stacks, cloud platforms and industry ...

value from BA's operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise in AI/ML and a strong ability to translate insights into business impact. Key Responsibilities Design and implement predictive and prescriptive models for MRO AI Solutions. Perform exploratory … performance. Develop models and analytics that can be generalized and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). ...

duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Mentor junior engineers and set best practices for AI/ML infrastructure. Influence across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech ...

Provide direction to existing teams on infrastructure choices, tooling and architectural patterns Define how the data platform fits into wider system architecture (AI/ML, reporting, applications, integrations etc) Set standards for ingestion, transformation, storage, and serving of data Balance short-term delivery with long-term architectural health Ensure … platform supports AI/ML readiness Data Governance Define standards for ownership, contracts, versioning etc. Embed data quality, lineage, and observability into architectural decisions Work with teams to ensure data governance enables speed rather than blocking it Data security and compliance frameworks Leadership Act as the technical authority ...

/or React Design and develop RESTful APIs and backend services Work with SQL Server and/or NoSQL databases Integrate AI/ML services (e.g., APIs, automation, intelligent features) Collaborate with cross-functional teams to deliver end-to-end solutions Mentor junior developers and contribute to best practices Requirements … HTML, CSS, JavaScript/TypeScript Familiarity with REST APIs , Git , and modern development workflows Experience or strong interest in AI technologies (e.g., OpenAI APIs, ML integrations) Nice to Have Experience with Azure (App Services, Functions, DevOps) or AWS Knowledge of Docker/Kubernetes Experience with Microservices architecture Familiarity with ...

database, and UNIX domains to assess current systems, define future-state architectures, and outline migration stages, translating requirements into actionable Python implementations Build reliable ML-driven tools and scripts in Python (using frameworks like TensorFlow, PyTorch, or scikit-learn) to optimize workload automation, predict placement needs, and handle legacy-modern … resolve issues in backup/storage workflows, leveraging Python for data analysis, scripting, and prototyping enhancements Mentor junior engineers on Python best practices, ML model deployment, and agile development in a global team setting What You Bring Proven expertise in Python programming, including building scalable REST API servers, integrating message ...

database, and UNIX domains to assess current systems, define future-state architectures, and outline migration stages, translating requirements into actionable Python implementations Build reliable ML-driven tools and scripts in Python (using frameworks like TensorFlow, PyTorch, or scikit-learn) to optimize workload automation, predict placement needs, and handle Legacy-modern … resolve issues in backup/storage workflows, leveraging Python for data analysis, Scripting, and prototyping enhancements Mentor junior engineers on Python best practices, ML model deployment, and agile development in a global team setting What You Bring Proven expertise in Python programming, including building scalable REST API Servers, integrating message ...

influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We are looking for a detail … opportunity for someone looking to kick-start a career in AI. Core responsibilities: Designing, building, and testing AI-powered experiments working with leading-edge ML models. Building and deploying AI-powered microservices following standard design patterns. Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment ...

ingestion and processing pipelines Working with large-scale environmental datasets (audio + derived detections) Improving performance, scalability, and reliability of our platform Collaborating with ML workflows (e.g. integrating model outputs into production systems) Contributing to database design and data modelling across multiple storage systems Exploring and validating data to support … cloud-native architectures Experience with NoSQL databases (e.g. DynamoDB, MongoDB) Exposure to data analytics or exploratory data work (e.g. Pandas, PySpark) Experience working with ML pipelines or model outputs Some experience in Web framework would be beneficial but not essential Why Join Work on technology with real environmental impact ...

hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time … thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools ...