76 to 100 of 675 Remote Machine Learning Jobs

clearly with technical and non-technical stakeholders, and championing engineering excellence and continuous improvement. Stay current with the latest research, frameworks, and trends across ML, deep learning, and GenAI, translating them into production-ready solutions. Required Knowledge, experience and values 5+ years of commercialexperience in AI and machine … academic research experience is highly valued alongside this, buta track recordof commercial delivery is essential —withdemonstrabledelivery of production-grade models and systems across traditional ML, neural networks, and LLM-based systems. 5+years of commercial experience working withPython;familiaritywith C# is considered a bonus due to existing product integrations. Hold ...

following continued growth and investment. This is an exciting opportunity to join a multidisciplinary engineering team developing next-generation intelligent systems that combine AI, machine learning and robotics to solve complex real-world challenges. Working closely with software engineers, data scientists and product teams, you'll play … reliability and scalability. Requirements Commercial experience developing AI or Machine Learning solutions. Strong Python development skills. Experience with TensorFlow, PyTorch or similar ML frameworks. Knowledge of Computer Vision, Robotics or Autonomous Systems. Experience working with cloud platforms (AWS, Azure or GCP). Understanding of APIs, microservices and modern ...

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 ...

Head of Data Engineering and Machine Learning to join our team in London. In this role you will lead the data and ML teams that power the Quantum Platform, own the technical strategy and delivery roadmap for our data infrastructure and model estate, and turn business ambition into … intelligence that scales. Key Responsibilities Build, lead and develop a high-performing data engineering and ML team, recruiting and retaining engineers who take pride in what they ship and how it performs Set and own the data engineering and ML technical strategy, so our data infrastructure and model estate scale ...

evidence, assignments and workplace projects. Prepare learners for Gateway and End Point Assessment (EPA). Work closely with employers to ensure apprentices are applying learning effectively in the workplace. Maintain accurate learner records in accordance with funding and compliance requirements. Promote safeguarding, Prevent, equality, diversity and inclusion throughout … learner journey. Areas of Knowledge and Coaching Support Data Analytics and Data Science Artificial Intelligence and Machine Learning Python Programming SQL and Database Technologies Power BI, Tableau and Data Visualisation Statistical Analysis and Modelling Business Intelligence Exploratory Data Analysis (EDA) Predictive Analytics Machine Learning Algorithms Natural ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

across SBS products and client engagements. The successful candidate will combine deep technical expertise with strategic leadership, driving the development of scalable AI/ML models, influencing product innovation, and enabling clients to unlock value from their data. Location: Greater London, UK Hybrid: Flexible Onsite Schedule Responsibilities Data Science Leadership … environments (MLOps) Product & Innovation Partner with Product, Engineering, and Architecture teams to embed AI capabilities into SBS solutions Identify opportunities to leverage AI/ML to enhance banking products and client outcomes Drive innovation through experimentation with emerging technologies (e.g., GenAI, LLMs, predictive analytics) Client Engagement & Stakeholder Management Engage with ...

knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry Develop scalable AI applications using modern orchestration frameworks including … LangChain and LangGraph Build agentic AI workflows and enterprise AI services using retrieval, tool-calling and orchestration patterns Deliver end-to-end AI/ML pipelines covering experimentation, deployment, monitoring and optimisation Apply MLOps and LLMOps best practices across model lifecycle management, governance and production monitoring Work closely with Data ...

validate predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities — including AI/ML, deep learning, NLP, causal ML, and explainable AI — across multiple data modalities and clinical development contexts Apply statistically rigorous approaches to clinical trial data … machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Experience in the application of AI/ML and proficiency in Python, R, SQL , and cloud platforms (e.g., AWS, Azure, Databricks) Familiarity with clinical trial design, drug development processes, and the role ...

Hybrid - 2/3 Days On-Site) | Up to £65,000 + Bonus & Benefits An exciting opportunity has become available for an AI/ML Researcher to join an advanced research and innovation team developing next-generation Artificial Intelligence solutions for complex Defence, National Security and commercial challenges. This role … both technical and non-technical audiences Experience producing technical reports or research documentation Publications, open-source contributions or recognised research within AI/ML would be highly advantageous but not essential Must be eligible for Security Clearance (SC) and able to satisfy UK security vetting requirements ...

PEOPLE in Cambridge is looking for a Machine Learning Research Engineer specializing in NLP and LLM. The role involves researching new concepts for cutting-edge machine-learning software while working alongside a small team. Ideal candidates will have a Ph.D. or relevant degree, expertise in machine learning, and proficiency in Python. This opportunity offers a hybrid work model, competitive salary up to £100,000, and a range of benefits in an inclusive work environment. #J-18808-Ljbffr ...

threats. The organisation combines cybersecurity expertise, proprietary solutions, and technology partnerships to deliver tailored security services across various sectors. The organisation is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. This role focuses on building and evaluating … agentic systems, improving machine learning models and workflows, analysing performance, and researching security challenges such as adversarial attacks and offers the opportunity to work on cutting-edge AI technologies, influence product development, and collaborate with researchers, engineers, and security specialists. Responsibilities Designing and building evaluation frameworks ...

native solutions, and ensure AI platforms are secure, governed, and ready for production. What You'll Be Doing Design end-to-end AI and Machine Learning architectures, from data ingestion through to model deployment and monitoring. Define scalable cloud-native AI solutions using Google Cloud Platform (GCP). … Architect, Enterprise Architect or Machine Learning Architect delivering enterprise AI solutions. Strong experience designing end-to-end AI/ML platforms and production-ready architectures. Hands-on knowledge of Google Cloud Platform (GCP) and cloud-native AI services. Experience with MLOps, LLMOps or AI platform engineering, including model ...

senior technical guide to ensure pay models are rigorous, auditable, mathematically consistent, and free from unintended bias. MLE Collaboration: Partner closely with Machine Learning Engineers to ensure smooth, robust deployment and scaling of production-ready models. Causal Experimentation: Lead the design and execution of complex marketplace experiments … leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands‐on experience developing, deploying, and maintaining machine learning models in a corporate environment. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial ...

working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test … Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability ...

will be designing and building AI-enabled software systems that support complex operational environments. The role will involve developing scalable backend services, integrating machine learning models into production systems, and contributing to the architecture of secure, cloud-native platforms. This is a hands-on engineering role suited … NEED THE AI SOFTWARE ENGINEER TO HAVE. Active UKSV DV clearance Strong software engineering background with Python Experience building and deploying AI/machine learning applications Knowledge of LLMs, NLP, or generative AI frameworks Experience with AWS or Azure Familiarity with Docker and Kubernetes Experience working in secure ...

part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with … platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration : 6 months Rate : Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role : A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist … scalability. Experience Requirements : Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...

public safety sector. The Opportunity We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. … particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. Key Responsibilities Develop machine learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. ...

drive both client impact and team growth About the role In this role you will shape and deliver the data science agenda ensuring machine learning and analytics solutions are not only technically robust but deliver real measurable business outcomes for clients. You will sit at the intersection … proposals and engaging with clients Partner with delivery teams and engagement managers to establish consistent ways of working and repeatable approaches Drive adoption of machine learning solutions ensuring sustained client value Build strong relationships with partners such as Databricks Pega and Adobe and contribute to client account growth ...

excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through … hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable ...

home) Salary: £40,000 - £45,000 dependent on experience Ref: J13156 A global technology organisation is seeking a Data Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn't a role where your work disappears into reports. This … insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment. You'll be involved in: ·Developing machine learning models to improve forecasting and operational planning ·Applying time-series analysis and feature engineering techniques across large datasets ·Building and improving discrete ...

real-world relevance of AI-powered data science solutions. What You Will Do Review and refine AI-generated outputs related to data science, machine learning, statistical modeling, and practical aspects of deploying data-driven solutions Evaluate AI responses for accuracy, application of statistical and machine learning … senior-level data scientist with significant professional experience within the EU or UK Experienced in advising on, preparing, and executing data science or machine learning projects Skilled at evaluating analytical approaches, data quality, and compliance Comfortable working independently and providing structured, critical feedback Available for 8–20 hours ...

Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision‐making across the business. They are looking for a Data Science Manager to lead a high … Data Science Manager, you’ll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish ...

retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They … Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex ...