176 to 200 of 545 Remote/Hybrid Machine Learning Jobs

applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They're building an ML-first platform where research doesn't sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They … looking for an ML Engineer who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment Has worked with biological or molecular data in some form... proteins, molecules ...

applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They … looking for an ML Engineer who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment Has worked with biological or molecular data in some form... proteins, molecules ...

Intelligence/Machine Learning, or Maths/Computer Science with AI modules. Recent PhD or Masters relevant to "Cyber Security of AI ML". Experience: Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Research Skills: Excellent … report writing and presentation skills. Excellent spoken and written English. Technical skills: Technical specialist in AI/ML/Data Science techniques. Software Development: Strong Python skills. Academic research background PHD/Masters within the last 5-10 years Deep AI/ML algorithm and application knowledge (ideally Cyber aspects ...

Senior AI/ML Engineer Fully Remote £100,000–£120,000 + benefits About the Role Our client, a blockchain analytics scale-up, is looking for a Senior AI/ML Engineer to join their expanding team. They’re scaling their AI capabilities and need someone passionate about applying cutting … edge machine learning and LLM techniques to real-world crypto data. You’ll work directly with a Staff AI/ML Engineer who has built advanced ML teams in the past, driving projects that power their platform - used by investors to discover opportunities, perform due diligence, and defend ...

learning solutions with real-world impact. You will work on diverse projects across national security and healthcare-related sectors, applying AI/ML techniques to solve complex challenges. This is a London-based role with hybrid working support. Key Responsibilities: Lead and contribute to AI and ML projects … working closely with engineers, project managers, and non-technical stakeholders. Act as a technical point of contact, sharing expertise in AI/ML methods across projects and bids. Scope, plan, and deliver AI solutions, including model development, deployment, and evaluation. Mentor junior team members and support their professional growth. Present ...

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 ...

test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs … platform direction. Key Skills and Experience Strong Python programming skills and foundations in machine learning, LLMs, or multimodal AI. Understanding of ML concepts such as training, fine-tuning, optimisation, evaluation, and model drift. Experience building or adapting ML models (open-source or proprietary). Ability to design structured ...

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 ...

rare opportunity to apply cutting-edge data science in a highly innovative, collaborative, and impactful environment. Key responsibilities: Lead and contribute to AI and ML projects across diverse data types (text, images, audio, video, graphs, geo-location). Engage with stakeholders to scope projects, understand use cases, and plan technically … robust delivery strategies. Collaborate with ML engineers to build, deploy, and maintain models using cloud services (AWS). Conduct research, literature reviews, and provide technical guidance to shape solutions. Present complex technical concepts to both technical and non-technical audiences. Mentor junior team members and support the broader team ...

Engineering roles. Domain Expertise: Strong experience in capital markets, front-office systems, or financial services (essential) Proven track record of delivering AI/ML solutions in production environments, or demonstrable experience building AI tools inside or outside of work setting. Education: Relevant Software Engineering/Computer Science degree. Technical Skills … Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure ...

permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with … tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please ...

Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines Data Integration: Products integrating ML/AI models, databases, BI tools UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys Other: Version control (Git/GitHub), testing frameworks … facing products Proven experience in rapid prototyping, innovation labs, or product R&D teams Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous) Prior startup or SME experience where engineers own end-to-end delivery ...

Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines • Data Integration: Products integrating ML/AI models, databases, BI tools • UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys • Other: Version control (Git/GitHub), testing frameworks … facing products • Proven experience in rapid prototyping, innovation labs, or product R&D teams • Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning • Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous) • Prior startup or SME experience where engineers own end-to-end delivery ...

vendors. 15+ years in investment management workflows. Knowledge of advanced RAG and multi-agent systems. Relevant certifications (Databricks GenAI, SnowPro GenAI, AWS ML). CFA charterholder or active candidate. ...

cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques … regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers : hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers : hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. Desirable Experience Experience coordinating or supporting AI/ML initiatives within data platforms. Experience working within large, regulated, or international organisations. ...

junior data scientists, raising the bar on technical quality, delivery and communication What we’re looking for: 5+ years’ experience applying data science and ML to real-world business problems Strong grounding in statistics, experimentation and analytical reasoning Proven experience building predictive models and taking them to production Ability … Experience in financial services (not essential — support and training provided) Exposure to marketing analytics or MMM projects Master’s level education in Data Science, Machine Learning or a related field What’s in it for you: Competitive base salary + 12% flexible benefits Private medical cover (including family ...

workload). BAU Finance Support: Ongoing analytics across AP, Cash, Commercial Services, Operations. Analytical Automation: Using Python/SQL to streamline recurring analysis. Future ML/AI: The team will explore machine learning applications. Requirements Essential: Strong SQL (querying, joins, CTEs, window functions). Python for data analysis … team or financial data experience. Data warehousing knowledge. What You'll Get Salary up to £47,000. Modern data tech (Databricks, Medallion Architecture). ML/AI exposure as team evolves. Hybrid working (4 days onsite after training). Career development in major UK retailer. Interview Process Stage 1: Informal ...

other engineers, raising the overall engineering bar. This Role Requires Deep AI & Engineering Expertise 3+ years of hands-on experience in AI/ML or Generative AI engineering , with a broader 712 years in professional software development . Strong understanding of model behaviour, limitations, evaluation techniques, and real-world deployment … problems. Comfortable balancing rapid prototyping with the discipline required for long-term, production-ready systems. Academic Foundation Bachelors or Masters degree in Computer Science, Machine Learning, Engineering , or a closely related discipline. Bonus Points Experience with MLOps and model serving platforms such as BentoML, MLflow, or SageMaker . ...

data governance frameworks Strong understanding of data security, access controls, and compliance requirements Excellent problem-solving, communication, and documentation skills Familiarity with AI/ML data pipelines and analytics platforms Preferred Qualifications Experience with cloud data platforms (AWS, Azure, GCP) Experience with big data technologies (Hadoop, Spark, Kafka) Familiarity with ...

LLMs, and enterprise AI technologies. Your Profile Essential skills/knowledge/experience 5 8 years of experience in software engineering or AI/ML development, with at least 4+ years working with Azure AI services. Strong hands-on experience with Azure AI Doc Intelligence, including document extraction, form recognizers ...

technical leader in the Platform Team , focusing on hands-on development, architecture, and mentorship . You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics , building features for the Data Science team and launching new ML models . This role is not about people management … code, and driving innovation . Specifically, you can expect to be involved in the following: Technical tasks: Improving real-time traffic tracking , deploying new ML models , and optimizing big data pipelines . Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE ...

autonomy. Responsibilities Modelling and Forecasting Develop time‐series models for generation, consumption, and market price forecasting. Build probabilistic and scenario‐based forecasting capabilities. Apply machine learning to optimise matching, pairing, and routing algorithms within the P2P marketplace. Trading and Optimisation Intelligence Create algorithms that optimise buyer–seller matching … recommendations. Nice to Have Experience with marketplace or matching algorithms. Exposure to flexibility markets, virtual power plants, or reconciliation/settlement processes. Experience with ML deployment frameworks (MLflow, Vertex AI, SageMaker). Knowledge of optimisation libraries such as Gurobi, OR‐Tools, or Pyomo. ...