226 to 250 of 671 Remote Machine Learning Jobs

it, how to store it, how to structure it, how to transform it, and how to consume it for data-centric functionality including data APIs, data monetisation, Gen AI, machine learning, management information, and reporting. Joining Deloitte provides access to strong training and learning opportunities. You will work in fast-paced teams with talented, motivated colleagues and More ❯

it, how to store it, how to structure it, how to transform it, and how to consume it for data-centric functionality including data APIs, data monetisation, Gen AI, machine learning, management information, and reporting. Joining Deloitte provides access to strong training and learning opportunities. You will work in fast-paced teams with talented, motivated colleagues and More ❯

build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in a fast-paced trading environment where insight shapes strategy. Qualifications What we’d love you to … bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing More ❯

that may restrict the use of cloud-based or internet-connected AI services. You will collaborate closely with cross-functional teams to shape the roadmap and execution of offline machine learning models and governed AI capabilities designed for highly regulated environments. You will also play a key role in advancing adoption of the Model Context Protocol (MCP), ensuring … maintainability. Required Skills, Experience & Values: The successful candidate will possess the following skills, abilities and experience: 3+ years of product management or product ownership experience, ideally in AI/ML or data-driven products. Degree in Computer Science, Engineering, Data Science, or a related field. Solid understanding of AI/ML concepts, pipelines, and constraints. Experience working closely with data … fast-paced, iterative, and agile environment. Preferred Experience: Solid understanding of cyber security concepts such as threat detection, SIEM, anomaly detection, and incident response. Experience with tools for tracking ML models in production (e.g., MLflow). We encourage you to apply even if your experience is not a 100% match with the position. We are looking for someone with relevant More ❯

strategic objectives, through the contribution to the development of innovative, data-driven products and analytics.You will help improve business performance in Southern Water through your experience in data science & machine learning and the application of appropriate technology to opportunities identified throughout the business.We prioritise value over everything - and you will be expected to seek out the opportunities in … and business Experience or ability to mentor and help develop senior analysts' development pathways Technical Excellent understanding and application of a broad range of analytical techniques, including supervised & unsupervised learning, optimisation, LLMs etc. Risk & Compliance Understanding of data security and governance (GDPR etc) Understanding of legal and ethical considerations of AI & automated decision making 25 days annual leave + More ❯

building bespoke models for clients and leading expertise across all major industry categories, we are able to offer our talents more opportunities to grow and benefit from a richer learning experience. We call this Power of One. Powered by a 100,000-strong network via Marcel, our AI-based platform, we are also able to provide our clients and … cloud-native data infrastructure (e.g., BigQuery, Redshift, Snowflake, Databricks) Demonstrated ability to lead teams, set technical direction, and collaborate effectively across business and technology functions Desirable skills Familiarity with machine learning pipelines and MLOps practices Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI/CD pipelines, and DevOps tools (e.g. More ❯

in leadership or leading a small team of software developers and quality assurance engineers Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum More ❯

OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks: Transformers, HuggingFace Model Optimization/Formats: Onnx, TensorRT Data Stores & Databases More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are More ❯

passionate about data-driven decision-making and optimizing data aggregation processes while exploring and identifying right-sized technologies and computing resources. This is not a Data Science, Big Data, ML-Ops, or AI-related role. Instead, this position focuses on wrangling disparate data sources into unified, consumable data APIs for internal and external stakeholders. This is a Hybrid position in More ❯

across the platform, naming conventions across data products, championing and enforcing both. Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows Qualifications What we’d love you to bring: Strategic thinker, aligning multiple workstreams to deliver a scalable, high-quality data platform. Develops the data function roadmap More ❯

coverage and quality of APIs, tooling, and providers in the upstream Llama Stack project. In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML family of products and will be responsible for the design, development, and refinement of software that enables the creation and deployment of generative AI models. The ideal candidate will have … a proven background in developing and testing robust and scalable Python solutions within an AI/ML context. As part of your responsibilities, you will need to adhere to coding best practices and standards, including well-documented, and efficient code; building and implementing upstream unit and E2E automated tests, maintaining updated code documentation and comments, following security best practices, participating … end-to-end tests to guarantee the reliability and performance in the upstream project, maintaining CI/CD workflows in GitHub, and ensuring downstream quality. Create robust AI/ML software tools to enable AI Application development and contribute to a healthy open source community. Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback, identify potential More ❯

AI Engineer 6-month contract (extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced AI/ML Engineer to help our Central Government client build high-performance machine learning systems and cutting-edge AI features. You'll work with technologies like LLMs, OCR, object detection, and cloud-native deployments , contributing … to scalable, production-ready solutions in a collaborative, agile environment. What You'll Do: Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/… QLoRA, etc.). AI Engineer requirements: Solid Python skills (3.9+) with deep knowledge of async, OOP, and performance tuning. Hands-on experience with LLM fine-tuning , image processing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with multi-modal models, RLHF , or edge More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. Job Title … Senior/Lead Tech Engineer (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £575prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. Working alongside the Data … Architect Experience at a Tech Lead/Senior Engineering Level Mentoring/Team Leading experience - Nice to have (Full Support from Engineering Manager) Hands on development/engineering background Machine Learning or Data background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

about retail, business, and how data drives decision-making Good communication skills and a willingness to learn Desirable Experience with data visualisation tools (e.g. Power BI, Tableau) Knowledge of machine learning concepts or statistical modelling What You'll Get Hands-on experience with real-world data and business challenges Mentorship from experienced Data Scientists and Analysts Hybrid working … and flexible hours A clear development path and support in learning new skills Staff discount, pension, and other great perks Apply Now Whether you've just finished uni or are about to graduate - if you love data and want to make an impact in a fast-moving business, we want to hear from you More ❯

working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events. You'll be part of a collaborative, research … driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for image and video analysis Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads) Train, evaluate, and fine-tune models on large datasets … into production environments and monitor their performance Collaborate closely with engineers, data scientists, and product teams to deliver integrated solutions Stay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches About You We're looking for someone who thrives at the intersection of research and applied engineering . You enjoy solving complex problems and pushing models More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: £700 - £750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We’re seeking a full stack developer with strong More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: 700 - 750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We're seeking a full stack developer with strong More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: £700 - £750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We're seeking a full stack developer with strong More ❯

public holidays), with buy/sell options. Flexible Benefits: Life assurance, gym memberships, health plans. Work-Life Balance: 37.5-hour week + up to 2 TOIL days per month. Learning & Development: TechX Academy, unlimited e-learning, career mobility. If you want to work on real-world systems, close to the mission, and in a role where your code … transportation. What Makes Us Different: Purpose:you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration:having flexibility to More ❯

Zenith Training is the fast-growing learning and development division of Zenith People. We work across various sectors, integrating strategic thinking with innovative training to help businesses deliver their strategy and future growth across the North East. As an Ofsted Rated Good provider and ISO 9001:2015 certified organisation, we’re committed to maintaining the highest standards of quality … data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure Microsoft 365 Copilot, and extend functionality using Power Platform and Azure AI. Work collaboratively with employers and … ensure training solutions meet real business challenges and deliver measurable outcomes. To support the achievement of contractual targets for learner retention and success rates. Monitor learner progress to ensure learning continues and learners achieve in a timely manner. Seek feedback from learners on learning support materials to review and improve the service and learning experience. Ensure systems More ❯