151 to 175 of 1,278 Permanent Machine Learning Jobs

your family again! Design reusable assets, solutions, and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...

your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...

someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment … actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining ...

Software Engineer AI and Data, Permanent West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting … team looking to scale their AI development capability. I seek a creative Software Engineer with a passion for AI and Machine Learning who has is a team player, and has the attitude to grow as a developer to support this client on their AI journey. Working ...

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines … with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What Youll Work On ML lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines ...

silicon utilization. Responsibilities Investigate future graphics and AI workloads to inform long-term architectural direction. Develop compute architectures that integrate graphics processing capabilities with machine learning acceleration. Evaluate approaches for combining dedicated hardware accelerators with shared programmable compute resources. Design execution units capable of supporting mixed workloads, including … design teams. Contribute to overall system architecture decisions involving power budgets, thermal limits, and physical layout. Ensure hardware architecture aligns with evolving graphics APIs, machine learning frameworks, and runtime environments . Support modelling, benchmarking, and performance analysis across development stages. Required Experience 15+ years of experience ...

Senior ML Engineer: Up to 115k Xcede are currently working with one of Europe’s most respected applied AI companies. They work closely with governments and major organisations to solve complex, high-impact problems using machine learning and data science. Something particularly impressive is their reputation … tech unicorn, valued at over £1bn, and their position as a market leader in safe, real-world AI. Currently, they are looking to hire ML Engineers for their Senior position in their Financial unit. The ideal candidate will be someone who has worked as a ML Engineer with LLMs through ...

month in office), £90,000 - £120,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based … Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering ...

machine learning models used across financial data, risk, and automation use cases. You’ll work alongside engineers and product teams to deploy ML solutions into production. Key Responsibilities Develop and deploy ML models Work with structured financial datasets Collaborate with engineering teams Improve model performance and monitoring Support … production ML pipelines Required Experience Machine learning engineering experience Python and ML frameworks Experience deploying models to production Financial services or data-heavy background Cloud ML tooling exposure Nice to Have NLP or time-series modelling MLOps experience Risk or fraud use cases Why Join Applied ML ...

Role: AI/ML Computational Science Senior ManagerLocation: LondonSalary: Competitive salary and package dependent on experienceCareer Level: Senior Manager (CL6) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. … Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine ...

Large Language Models and are now building agentic AI workflows that can autonomously answer complex research questions. They're looking for a Staff ML Engineer to help scale their NLP and search capabilities . What you'll be doing • Improving search quality (precision & recall) across large datasets • Designing LLM-powered … workflows and agentic systems • Building ML models and NLP pipelines for production use • Working with large-scale search infrastructure (Elasticsearch/OpenSearch) • Collaborating with engineers and data scientists to evolve the ML platform This is a hands-on engineering role with significant impact on the product and ML direction. What ...

Pandas, SciPy, scikit-learn) Document problem statements clearly and provide verified correct answers What we look for This opportunity is a great fit for ML specialists with Python experience who are open to part-time, non-permanent projects. Ideally, you will have: 5+ years of hands-on machine learning …/or publications showcasing real-world problem-solving Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Deep understanding of ML algorithms, methods, and their practical applications Expert-level SQL and database operations for data manipulation and analysis Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector ...

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines ...

Machine Learning Engineer Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine … Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment click apply for full job details ...

Staff Machine Learning Engineer – AI/ML Information Extraction Remote (Or Hybrid If London based – 2 days) Company Overview My client is a fast-growing, product-led technology business operating within a specialist professional services sector. They provide a SaaS platform used by organisations globally to improve business … with a strong focus on innovation, AI, and scalable product development. The Role My client is looking for a Staff Software Engineer – AI/ML with expertise in Information Extraction to play a key role in advancing their AI capability. This is a hands-on technical leadership role, focused ...

Machine Learning Engineer £Up to £65,000 GBP Competitive Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Machine Learning Engineer Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors ...

What You’ll Do Build and optimise LLM-powered systems Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches Experiment with modern architectures such as Transformers and Mixture-of-Experts Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods … Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations ...

with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference … shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 2. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 3. Staff SE – MLOps/DevOps ...

Platform, and Azure AI to create smarter, more human ways of working. You’ll join a collaborative team that values trust, curiosity, and continuous learning, where your ideas don’t just get heard, they actively shape our direction and the solutions we deliver for our clients. Role Overview This … environments Strong hands‐on experience with Microsoft Fabric, including: Lakehouse, warehouses, pipelines, and semantic models Experience with Azure Machine Learning or equivalent ML platforms Proven ability to design and implement AI and data architectures end‐to‐end Experience building AI‐enabled solutions (LLMs, copilots, intelligent automation) Strong understanding ...

technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines … processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers ...

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote/London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based … help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction ...

models efficiently on Hopper and Blackwell GPU architectures. Maintain steady biweekly progression within our sprint-based research environment. Implement low-latency, real-time inference ML pipelines using tools such as Triton Inference Server, vLLM, or SGLang. Optimise model performance across cloud platforms using frameworks like TensorRT and ONNX. Build … performance optimisation and cloud platform deployment. Strong background in containerisation and orchestration (Docker, K8s, etc.). Demonstrated ability to deploy and scale low-latency ML pipelines in production. Strong oral and written communication skills. ...

Machine Learning Engineer LOCATION- Reading TERM- Permanent SALARY- £60,000 to £90,000 per annum (plus benefits) My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support the development and deployment of intelligent systems from t click apply for full job details ...

Your Responsibilities: Design and deliver scalable AI and machine learning solutions across underwriting, risk, and operations Own the end-to-end ML lifecycle, from feature engineering to deployment and monitoring Build and maintain data pipelines and production workflows using Python, TensorFlow, PyTorch, scikit-learn, AWS (S3, Lambda, SageMaker … risk, and responsible AI standards Collaborate with cross-functional teams to translate business needs into practical AI solutions Your Experience: 3+ years experience in machine learning, data science, and software development Proficient in Python and/or R Experience with cloud platforms (e.g. AWS), Linux, and containerised environments ...

school) Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS LEE project, we will use machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Newton … Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical approaches, the application of meta learning, and the integration of convex optimization layers Increase inference efficiency (e.g., GPU acceleration) and assess the applicability ...