926 to 950 of 1,397 Permanent Machine Learning Jobs

tech projects. This is an exciting and rewarding opportunity working with cutting-edge cloud technologies, modern delivery processes, and innovative projects involving AI and ML which provides a dynamic and stimulating work environment. Collaborating with experts in their respective fields enabling you to learn and make valuable contributions to ground ...

operate autonomously Confident working in fast-moving, ambiguous environments Nice to Have Exposure to Power BI and modern reporting ecosystems Awareness of AI/ML concepts within data platforms Experience working within fintech or digital banking environments Team & Environment Flexible hybrid working model at the London office Occasional client travel ...

farm automation). Experience working with IoT solutions , sensor networks , or data analytics platforms relevant to the agriculture value chain. Understanding of AI/ML applications in yield prediction, soil monitoring, or precision farming. Familiarity with sustainability and environmental impact technologies. Prior consulting experience within technology, innovation, or digital transformation ...

relentless focus on achieving results. It would be great if you had Knowledge experience and in-depth understanding of tools like AI/ML, Digital Twins, etc as well as an appreciation of emerging technologies A good working knowledge of the technology landscape of the Energy Sector The experience ...

GDPR Article 22, automated decision-making, profiling) AIRA methodologies, including bias, fairness, explainability and human oversight considerations. AI technologies and the AI/ML lifecycle, including generative AI, foundation models, and traditional ML. The recruitment industry and/or equivalent highly regulated industry Working in global multi-jurisdictional environments Recruitment ...

Integrating scalable production-grade AI/ML systems into engineering applications Guildford to £80,000 plus benefits This engineering software company are integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have ...

coding models on a language with no pretraining footprint, including the supervised and reinforcement stages that build competence from zero. Publish in PL and ML venues. Choose the next experiments. Help shape what verified computing looks like in the wild. Who you are You publish at top venues in some … combination of machine learning, programming languages, or formal methods. People who cross between them are who we want most. PhD preferred, equivalent output equally fine. You can talk fluently about both training dynamics and type systems. You do not need expertise in both, but you need real curiosity ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware–software ...

with Microsoft and SMEs to shape cloud architecture Cloud Transformation Modernise legacy systems & enable cloud-native development Embed Azure AI services (OpenAI, Cognitive Services, ML) into workflows & apps Global Operations & Service Delivery Lead 24/7 Azure operations ensuring high performance & uptime Manage SLAs, service support, incidents & escalations Drive automation … Requirements Strong IT leadership background with extensive Azure cloud ownership Experience managing global cloud operations & distributed teams Deep expertise in Azure architecture, AI/ML services & managed service ops Exceptional communication & stakeholder management Strong financial acumen, especially around cloud cost control Proven ability to build modern cloud capabilities at enterprise ...

Hybrid 3days/week) Job Description: Primary Skills: Big Query, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, Data Architecture, AI/ML platforms, and Generative AI solutions, datalake house architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks Secondary Skills: Looker …/Data Architecture roles) Job Summary: We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (GCP). The ideal ...

markets, they’re looking for a Senior Product Manager to help shape the future of a cutting-edge platform at the intersection of cybersecurity, machine learning and agentic AI. This is a high-impact role working closely with technical leadership to define product strategy, lead execution, and bring … continuous improvement 🔹 What they’re looking for: • Experience building and scaling technical products in cybersecurity, analytics, SaaS or data platforms • Strong understanding of APIs, ML/AI-driven products and platform architecture • Proven experience delivering products with strong commercial outcomes • Comfortable operating in fast-paced, high-growth environments • A hands ...

accounts payable processes. Processing millions of transactions for enterprise customers including AstraZeneca, GSK and Virgin Atlantic, they've built a platform that combines automation, machine learning, and AI to eliminate manual finance workflows and save customers significant time and cost. They're now looking for a Software Engineer … their product engineering teams. This is a great opportunity for a mid-level Software Engineer who wants to work on meaningful backend challenges while learning from experienced technical leaders in a business that is scaling rapidly. You'll be working on: • Building new product features in Python and Django ...

grade services using Python and AWS Develop high-throughput APIs and scalable data infrastructure Improve reliability, observability, performance, and operational efficiency Support AI and machine learning initiatives with strong data foundations Drive architecture decisions and modernisation strategies across the platform About you: You have strong experience with Python … data platforms, analytics infrastructure and ETL orchestration (they use Luigi so experience with that is beneficial) You have experience of moving data/ML solutions into production environments You have a strong understanding of scalability, latency, reliability and observability You're collaborative, comfortable mentoring others, provide technical direction and communicating ...

Economic or market research (e.g. sell-side, macro, sector analysis) Nice to Have Experience working with large-scale or novel datasets Familiarity with AI, machine learning trends, or technical ecosystems Coding skills (Python, R, or similar) Experience producing publishable research or insight reports Skills & Attributes Curiosity & learning … Competitive salary aligned to experience and location Generous paid time off and flexible leave policies Health, insurance, and retirement benefits (location dependent) Budget for learning, development, and productivity tools Regular team offsites and collaboration opportunities Additional Information Open to candidates across multiple time zones (with some overlap with Europe ...

with this AI start up that is revolutionising tools that let filmmakers edit, localise, and refine performances without reshoots. About the Role The Senior ML Systems Engineer will own the full stack from data ingestion through to distributed training and production inference . Responsibilities Importantly a track record of building … ML infrastructure or data platform Strong #Python backend expertise (e.g. FastAPI or similar) and this hire will have significant ownership Data platform: #LanceDB, #DataFusion, #Arrow, Parquet, Iceberg Training infra: #PyTorch, Ray, multi-node distributed setups Inference: Triton, model ensembles, production reliability Multimodal pipelines: TB-scale video, embedding, and #metadata #datasets ...

maintaining AI systems while collaborating with hardware, software, and clinical teams. It is not a research role, but requires strong knowledge of AI, machine learning, and robotics to ensure smooth, reliable deployment. You’ll also have the chance to work across projects, tackling diverse challenges in a fast … document integration workflows for reproducibility and scalability. Required Skills & Experience: Strong programming skills in Python and C++. Hands-on experience with AI/ML frameworks like PyTorch or TensorFlow. Experience in system integration, APIs, and software deployment. Familiarity with hardware integration, robotics, or embedded systems. Experience working in highly regulated ...

active UK security clearance (SC minimum, Developed Vetting highly preferred). Technical Core: Deep background in software engineering, primarily utilising Python. AI/ML Domain: Practical commercial experience with generative AI, retrieval-augmented generation (RAG), modern AI frameworks, autonomous agents, and natural language processing. Infrastructure: Proficiency in cloud-first architectures … life-cycle autonomously, from initial concept to live deployment. Bonus Qualifications Currently active DV status. Hands-on familiarity with prominent open-source NLP and machine learning ecosystems. Full-stack capability using modern web technologies and backend languages. Strong foundational knowledge in advanced search and information retrieval systems. ...

veterinary organisations. We have ambitious and exciting growth plans and are looking for talented individuals to be part of our journey. iLearn is our learning and compliance platform, supporting healthcare organisations to meet regulatory requirements, maintain workforce competence, and deliver high quality patient care. The role: As a Lead … products forward Demonstrable experience working closely with Product — influencing roadmap, shaping requirements, and bridging technical and commercial priorities Hands-on experience with AI/ML integration — whether LLM APIs, prompt engineering, RAG architectures, or embedding AI tooling into production software Deep understanding of modern software design patterns and best practices ...

Data Scientist £120K - £140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data … Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking ...

data-driven decision making. The business operates at scale across multiple personal lines products and continues to invest significantly in modern data platforms and machine learning. Data science sits at the core of how the organisation prices risk and drives commercial strategy. THE ROLE This is a senior individual … practice across the data science community. YOUR SKILLS AND EXPERIENCE Strong experience in predictive modelling using Python and SQL. Hands-on experience with modern machine learning techniques such as gradient boosting methods. Proven ability to work with large-scale, complex datasets and translate ambiguity into clear analytical approaches. ...

standards, governance or maturity have previously been inconsistent. The role requires broad architectural depth across applications, data, infrastructure, integration, cloud, security and AI/ML, alongside the judgement to know where to prioritise effort for the greatest commercial impact. What makes the opportunity particularly attractive is that it offers genuine … bring broad, cross-domain expertise. This includes strong understanding across applications, data, infrastructure, integration, cloud and security, alongside a working appreciation of AI and machine learning and how these can be applied in a practical business context. Experience working with data platforms and analytics, coupled with an understanding ...

Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality Strong judgment in small-team environments. You have owned quality yourself rather than inheriting it from process. You can take high-level product, customer … orchestration Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work Audio, signal processing, or real-time systems background AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines Not required but welcome: Interest in sound, music, acoustics ...

including Payments Loans Cards Pensions Markets Technology & Platform Exposure Candidates should demonstrate experience across a mix of the following: Cloud Services & Platforms Artificial Intelligence & Machine Learning, including emerging Agentic AI concepts Data Loss Prevention (DLP) Blockchain technologies Modern architecture platforms and frameworks ...

work from home. As an AI Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges ...

software architecture across Windows and Linux platforms. Complex Systems: Manage codebases integrating hardware, sensors, vision, and AI. Innovation: Partner with Data Science to deploy Machine Learning models to edge devices (e.g., NVIDIA Jetson). Leadership: Mentor junior engineers and drive best practices across the full SDLC. What Were ...