376 to 400 of 1,243 Machine Learning Jobs

thrive on complex, high-impact challenges, we encourage you to apply. What You'll Do: As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: Design and Build Scalable Data Pipelines … Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks. Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide technical leadership, and translate complex requirements ...

Contract ML Engineers – R&D OR Edge Deployment (SC/DV Cleared) UK-Based | 6–12 Months | Outside IR35 | Competitive Day Rate This is ML work at the point where research meets reality. You’ll be supporting programmes focused on autonomous and defence systems, working across either: R&D/… Neural Network Development Improving model performance at architecture level Working on advanced concepts (e.g. spiking neural networks) Deep technical ML problem solving Deployment/Integration Running models on edge/constrained hardware Optimising inference (TensorRT, compression, etc.) Integrating into real-world systems Across both, you’ll need: Strong Python + ...

Responsibilities: Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives. Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring. Establish architectural standards, design patterns, and engineering best practices. Provide technical oversight across … technically astute AI Solution Lead who thrives on engineering execution to realise enterprise goals.You will be responsible for designing and sustaining AI/ML solutions that align with the Army Collective Training Service (ACTS) architectural vision. The AI Solution Lead must possess a deep understanding of AI technologies, with ...

Senior GenAI Platform Engineer/Senior AI/ML Platform Engineer Hybrid – London A rapidly scaling AI innovator is searching for an exceptional Senior GenAI/AI‐ML Platform Engineer to play a pivotal role in shaping and advancing their next‐generation intelligence platform. This organisation is building high‐performance … systems design, high‐throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‐ and ML‐driven features. This role is ideal for someone who thrives in fast‐moving environments, enjoys deep technical problem‐solving, and wants their work to have ...

Staff Software Engineer – AI/ML (MLOps) Engineering | UK Remote/London (hybrid working) Overview My client is a fast-growing, product-led technology company investing heavily in AI and machine learning. They are building advanced AI-driven products and are looking for a Staff Engineer to help scale … their AI/ML and MLOps capability. The Role My client is seeking a Staff Software Engineer with strong experience in MLOps/DevOps and AI infrastructure. This is a hands-on technical leadership role focused on designing, building, and scaling production-grade machine learning systems. You will ...

Data Science Researcher Up to £140k+ | Start-Up | ML | Python | Finance Python | Machine Learning | Quant Research | Trading | Finance | Research Pipelines | AI Tools | Hypothesis Testing | POCs | Exchanges | Mathematics |Do you want to join a fast-growing, heavily funded trading start-up right at the ground floor, where your research … formulas, models, and domain-specific approaches Analyses, models, tests, and ultimately recommends trading strategies Bridges the gap between a trading desk mindset and modern ML/Data Science practice Must-haves: Python ML frameworks & data science tooling Strong mathematical foundation Curiosity, scientific thinking, and the ability to build & test hypotheses ...

secure boot mechanisms Develop machine learning-enabled acoustic detection and classification systems: Data pre-processing and feature extraction Deployment of optimised ML models on constrained embedded devices Essential Experience Significant experience in embedded C/C++ development Strong experience across the full product lifecycle (concept → production) Proven expertise … Experience implementing mesh networking protocols Solid understanding of embedded security (encryption, authentication, secure firmware updates) Strong debugging and hardware bring-up skills Highly Desirable Machine learning for acoustic detection/classification Experience with MEMS microphone-based systems Wind/ambient noise mitigation design (hardware and software) Secure ...

death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models. The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera … highly collaborative work environment • Competitive salary and benefits package, including participation in our equity program Minimum qualifications • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome) • BS or MS in Computer ...

Python and SQL to process and analyse data Support exploratory data analysis to identify trends, patterns, and insights Assist in developing and testing basic machine learning models Help build dashboards and visualizations using tools such as Power BI Test and validate data pipelines to ensure accuracy and reliability ...

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles ...

embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting **end-to-end AI pipelines**, from data ingestion through to model deployment. Leading engineering teams across AI, machine … Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms ...

transformation and innovation. Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models. Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying ...

quantitative discipline. PhD in a relevant field (IR, NLP, knowledge graphs) is a strong differentiator. ● Relevant certifications are valued (Databricks Certified, AWS/Azure ML Specialty) but are secondary to demonstrated hands-on expertise. Agents notes: This role requires in-depth knowledge and experience. I will reply to every applicant. ...

working in consulting, private equity, financial services, or complex enterprise environments Right to work in the UK Desirable Skills & Experience Exposure to AI/ML concepts (e.g. machine learning models, NLP, RPA, decision intelligence) Experience with data platforms, cloud ecosystems, or analytics tools Knowledge of post-merger integration ...

engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments. Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works. Ensure AI product features meet the ethical, legal, and regulatory expectations … ability to translate complex technical concepts for senior leadership and cross-functional stakeholders. AI & Emerging Technology Experience: Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines. Familiarity with integrating AI or machine-learning ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead … 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 act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead … 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 act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

Microsoft Fabric and/or Databricks Experience or awareness of Big Data, Data Science, AI, or Machine Learning technologies, including integration of ML models or Generative AI components Excellent communication and problem-solving skills Competitive salary, benefits, and strong career development opportunities are offered within a collaborative ...

science activities, interfacing and integrating data science solutions into primary software environments. Experience and awareness of AI, Machine Learning, Generative AI and ML-Operations. Working within the Public Sector either embedded or as supplier. Secure Public and Private Cloud experience. Virtualisation and Containerisation techniques, technologies, risks and opportunities ...

want to build ML and LLM products that directly impact revenue at scale? Have you taken ML models from idea to production in a fast-paced environment? Are you ready to own 0-1 AI capabilities in a high-growth SaaS business? A fast-scaling, VC-backed SaaS company … learning systems to detect and prevent invalid traffic and ad fraud. Operating at massive data scale, they sit at the intersection of ML, data engineering, and adversarial systems. Data science is central to their product innovation, with a strong focus on real-world impact over research. This ...

logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service … solutions. Our stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm ...

will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering … stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency ...

Management (EDM) frameworks Experience with data governance, lineage and metadata management tools Exposure to multi-cloud environments (Azure or GCP) Experience supporting advanced analytics, machine learning or AI data platforms As part of a leading global analytics and digital solutions company, you can look forward to: A competitive … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

supported automation and optimisation . Preparing and maintaining high-quality datasets and AI-ready data models (DWH/Lakehouse) to support analytics, reporting, and machine-learning use cases. Monitoring and troubleshooting daily data operations, resolving issues following ITIL best practices, and implementing proactive improvements, alerting, and self-healing … data warehousing, and relational database environments (e.g., MS SQL Server). Experience designing cloud-native and on-prem data solutions. Exposure to AI/ML initiatives , AI-enabled automation, and an understanding of LLM concepts and their data workflow applications. Experience working in Agile environments (Scrum, Kanban, DevOps). Strong ...

researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable of working directly ...