201 to 225 of 1,454 Permanent Machine Learning Jobs

, 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 ...

help unlock the value of its data. This is a hands-on role where you'll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights. You'll have the freedom to own problems … Doing Designing and building data science solutions using Python Exploring datasets to uncover trends, patterns, and opportunities Applying statistical methods and machine learning techniques to solve business challenges Using clustering and segmentation to enhance analysis where relevant Translating technical outputs into clear insights for a range of stakeholders ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. … Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands ...

responsibilities include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through to production Contributing to the development of a new Data Science platform and helping … Nice to have: Exposure to cloud platforms such as GCP or Azure Experience with model deployment tools such as Vertex AI or Azure ML Any background in customer analytics, forecasting or personalisation What They Offer Salary of £45,000 to £48,000 Hybrid working, with three days per week ...

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 … broad stack of technologies - Python, Conda, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

products. Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications. The Opportunity ·You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with … product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. ·You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales. ·The environment is modern and cloud based, with exposure to technologies ...