801 to 825 of 1,406 Permanent Machine Learning Jobs

EKS. Preferred Qualifications: Keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning. Hands-on experience with Microservices, Data usage patterns, and Event-Driven Architecture (EDA). Knowledge of cloud architecture and ability to capture and share best-practice ...

scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution ...

scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution ...

scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution ...

modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. ...

modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. ...

modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. ...

being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides. Unlimited Pluralsight video learning access Access to Microsofts ESI training suite Hybrid working with no core hours Substantial support for career progression 25 days annual leave moving ...

want to build ML models that directly drive real customer and lending decisions? Have you worked on customer prediction problems like pricing, forecasting, or segmentation? Are you ready to join a fast-paced fintech where Data Science sits at the core of the business? We’re hiring a Data Scientist … applied machine learning, owning models end to end and working closely with Product and business stakeholders. Key Responsibilities Build and deploy production ML models used in live decision-making Work on customer prediction problems including pricing, forecasting, and segmentation Develop models using Python and SQL on large-scale ...

across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both ...

applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. … Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding ...

applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. … Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding ...

applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. … Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding ...

looking for a hands-on Data Engineer to join their highly technical team. This is an exceptional opportunity to work on cutting-edge machine learning and real-time optimisation products used by clients processing millions of customer interactions per day. You’ll join a small, elite engineering group ...

such as cache sharing, data locality, and cluster scheduling Prototype and evaluate next-generation inference architectures Research & Innovation Contribute to cutting-edge systems and ML research Publish at leading conferences and drive internal adoption of new approaches Collaboration Work closely with global research and engineering teams Communicate technical findings … optimisation tools Solid understanding of distributed algorithms Nice to Have PhD in systems, distributed computing, or AI infrastructure Publications in top-tier systems or ML conferences Experience with load balancing, fault tolerance, and resource scheduling Background in large-scale cloud or AI infrastructure environments Why Apply? Work on cutting-edge ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. Working with customers worldwide we help turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making … deep technical expertise with a practical, delivery-focused mindset. As we grow, we're looking for like-minded people who are excited by lifelong learning, eager to challenge existing ways of working, and motivated to make a real impact in an AI-driven world. Role Overview We are continuing ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data … Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...

ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state … optimize its serving, and ensure it runs reliably in production. Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. ...

Duration: 6+ Months About the Role We are looking for an engineer who is genuinely excited about AI - not someone who tolerates it as a tool, but someone who wakes up thinking about what they ...

time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that … more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed ...

engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives … models A practical and commercially minded approach to Data Science Nice to have: Cloud exposure (GCP or Azure) Experience with Vertex AI or Azure ML THE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply ...

engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply technologies … retail to improve pricing and margins Supporting large-scale programmes across defence and public infrastructure What you bring Core requirements Strong data science/machine learning background Experience delivering AI/GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment ...

integration framework. - Teamcenter Knowledge: Experience consuming Teamcenter SOA (Service Oriented Architecture) and understanding the Teamcenter Data Model. - AI/Automation: Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM-based data cleaning) to automate the resolution of data conditions and discrepancies. Middleware … extract data from Teamcenter (via SOA/Middle Layer) and import it into 3DEXPERIENCE. - AI-Driven Data Quality: Develop and implement AI/Machine Learning models or logic-based automation to detect, categorize, and auto-correct data discrepancies between the source and target systems. - 3DX Integration: Utilize XPDM ...

impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with … engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab ...