201 to 225 of 1,463 Permanent Machine Learning Jobs

leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations … will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will ...

practices for architecture, coding, and MLOps Collaborate cross-functionally with compliance, legal, and product teams Mentor a team of engineers on best AI/ML practices Qualifications: -Bachelor's or Master's degree in Computer Science, AI/ML, or related field -PhD preferred but not required -8 years … experience in software engineering or machine learning -Proven track record of building and deploying production AI/ML systems -Experience in regulated industries (finance, legal, healthcare) strongly preferred Technical Skills: -AI/Machine Learning -Strong expertise in: NLP and large language models (LLMs) Retrieval-augmented generation ...

ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI/ML to content, data, and products • Conduct research and identify AI/ML algorithms and methods to solve specific business problems • Implement rigorous testing and evaluation … Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI/ML applications and data-driven solutions • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including ...

combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning and AI into real world operations. If you enjoy solving complex problems, guiding others, and explaining technical concepts in a way that genuinely … you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure ...

both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring … documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including ...

Machine Learning Engineer - Defence 60,000 - £90,000 GBP Hybrid WORKING Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas/li , li Demonstrated success working with technical teams or senior specialists … high stakes modelling environments/li , li Deep understanding of AI/ML systems including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques/li , li Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks/ ...

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 … interest include Python, C++ and C#. Software may be desktop or web + cloud. Mobile app development is not a primary focus. AI and ML techniques are likely working with numerical data or imaging rather than natural language/LLM. The role offers a highly competitive salary and benefits ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

data solutions with measurable impact. Key Responsibilities Produce high-quality data, robust data architecture, and scalable systems that support applications, analytics and AI/ML initiatives Create and maintain data ingestion pipelines delivering clean, well-structured data to power applications and machine learning models Create and maintain data … optimized for experimentation and model training Maintain and evolve our databases and data warehouses across environments, ensuring performance, integrity, and support for analytics and ML use cases Troubleshoot and resolve data issues across systems, identifying root causes and implementing long-term fixes Stay up to date with developments in data ...

Partnering with engineering, business, and domain teams to bridge the gap between commercial goals and technical solutions Serving as the go-to expert on ML system design, model tuning, and bringing solutions to production at scale What we're looking for: Proven ability to build and ship production-ready data … science solutions using Python and the wider ML ecosystem Deep practical knowledge of applied machine learning, spanning model development through to data engineering Comfortable working across major cloud platforms (Azure, AWS or GCP) with hands-on exposure to tools like Spark, Hive or Redshift A track record ...

ML Engineer - Reinforcement Learning London (hybrid, 1 day/week in Kings Cross)- Solve Data Centres Cooling issues Cooling is one of the largest items on a data centre's energy bill, and most sites run it conservatively because getting it wrong puts the hardware at risk. Our client … cooling systems on live sites, cutting cooling energy without breaching the temperature and humidity limits operators are contractually bound to. They're hiring an ML Engineer - Reinforcement Learning to build those agents and get them running on real data centres. You'll report to the CTO/Head ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

world impact. We are pioneering the next generation of personalized customer experiences across Capital One's web and mobile applications, leveraging our high-scale ML models. Our core mission involves architecting and deploying cutting-edge personalized recommendation engines. This is powered by original research into homegrown Foundation Models , advanced Reinforcement … plus 3 years of experience in data analytics At least 3 years of hands-on experience building, deploying, and maintaining high-scale, production-grade ML systems using MLOps practices, including AWS, Kubeflow, and CI/CD pipelines At least 4 years of experience in developing and optimizing state ...

proactive and inquisitive approach Experience in the following would be beneficial: Working with hardware or developing software to control hardware devices Computer networking Machine learning, statistics, optimisation, or algorithm development Deep learning frameworks such as TensorFlow or PyTorch Mobile application development for iOS and/or Android … quality solutions Analysing and solving complex technical problems across software and system-level challenges Supporting integration between software and hardware components where required Continuously learning and applying new tools, technologies, and methodologies What the role offers: The opportunity to join a rapidly growing and highly innovative start-up Exposure ...

engagements across the aviation sector Leading technical discovery sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Designing AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Building proof of concepts, prototypes and scalable AI solution architectures … emerging technologies Contributing to thought leadership initiatives and helping position the business as an AI-first consultancy About You Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands-on AI expertise across machine learning, generative ...

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...

part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony … term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. Role Description In this role, you will: Partner with a cross-functional team ...

part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony … term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. Role Description In this role, you will: Partner with a cross-functional team ...

strong foundation in data engineering or software development, who is passionate about data and AI. You will gain exposure to modern data platforms, machine learning and emerging technologies such as generative AI. You will work closely with analysts, engineers and business stakeholders, helping to translate requirements into robust … from multiple sources, ensuring consistency, quality and reliability Optimise data processing, storage and model performance for efficiency and scalability Develop and implement AI and machine learning models Support the development of generative AI solutions using large language models and prompt engineering Produce clear technical documentation covering pipelines, models ...

role: We are seeking an experienced Senior Data Scientist to develop and deploy predictive analytics and machine learning solutions that deliver measurable business value. This role combines hands-on data science, data engineering, and model deployment, working across the full lifecycle from data acquisition and preparation through … large datasets, and delivering scalable, production-ready solutions. Exposure to modern AI technologies, including LLMs, is desirable. Responsibilities: Design, build, and deploy predictive and machine learning models. Analyse complex datasets to generate insights and support business decision-making. Develop pricing, forecasting, and predictive analytics models to support commercial ...

developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. ...

Consulting Engineer (Senior/Lead) Generative AI, Python, Infrastructure, PyTorch, TensorFlow, LLMs, Machine Learning, Agentic Systems, Cloud, Consulting, Solutions Engineering, Remote (UK) Very Attractive Salary + Benefits This is a fantastic AI Consulting Engineer (Senior/Lead) opportunity to work with a leading technology services organisation, driving … Sales and Product teams. Key Skills as AI Consulting Engineer (Senior/Lead): 3+ years experience in software engineering, ideally focused on AI/ML development. Excellent programming knowledge in Python and/or JavaScript. Experience using ML libraries/frameworks such as PyTorch, TensorFlow, etc. Experience building LLMs ...

significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation … maturity Clear communication skills and the ability to build credibility with non-technical stakeholders Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential. What They Offer The chance to shape a growing Data Science function and influence technical direction High-impact ...