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Your responsibilities: Collaborate with data scientists/forecaster to deploy machine learning models into production environments. Follow deployment strategies in place to ensure safe and controlled rollouts. Design and manage the infrastructure required for hosting ML models, including Azure cloud resources. Utilize containerization technologies like Docker to package models and dependencies. Establish Azure monitoring solutions to track the performance and health of deployed models. Set up logging mechanisms to capture relevant information for debugging and auditing purposes. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability. Optimize ML infrastructure for scalability and cost-effectiveness. Implement auto-scaling mechanisms to handle varying workloads efficiently such as parallel run Enforce security best practices to safeguard both the models and the data they process. Ensure compliance with industry regulations and data protection standards. Oversee the management of data pipelines and data storage systems required for model training and inference. Implement data versioning and lineage tracking to maintain data integrity. Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints. Collaborate with DevOps teams to align MLOps practices with broader organizational goals. Continuously optimize and fine-tune ML models for better performance. Identify and address bottlenecks in the system to enhance overall efficiency. Maintain comprehensive documentation for deployment processes, configurations, and system architecture. Communicate effectively with non-technical stakeholders, providing insights into the performance and impact of ML models Desirable skills/knowledge/experience: 5+ years of experience in MLOps, DevOps or a related field. Strong understanding of machine learning principles and model lifecycle management. Passionate about making things work iteratively and automating + scaling them Deep knowledge of software development and engineering in combination with ML models Experience in development Azure Machine Learning or any MLOPs frameworks Experience with SQL and noSQL environments, Azure SQL database and Storage Account blob is must Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms Azure machine learning services. Experience with monitoring tools and practices for model performance in production. practical ability in creating build and release pipelines in Azure DevOps for ML artifacts experience in supporting real-time-inference scenarios with Azure Machine Learning Knowledge of tools, methods, and frameworks used by data scientists Familiarity with data engineering practices and tools. Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus. Azure data scientist associate certificate is plus TPBN1_UKTJ

Support Worker – Must be a driver Location: Shinfield, Berkshire Rate: £13.03 per hour & £78.30 sleep in rate Permanent | Full-time | 35 hours per week (rota-based) We may be unable to support applications where Home Office visa restrictions prevent candidates from meeting the full contractual hours or requirements of the role. ‘Extraordinary Days, Every Day’ At CareTech, we are committed to delivering Extraordinary Days, Every Day through high-quality, person-centred care. Our focus is on empowering independence, building confidence and life skills, and supporting people to live fulfilling lives in environments that best suit their needs. We are recruiting a Support Worker to join our service in Shinfield, supporting adults with learning disabilities, autism, and mental health needs. Whether you’re new to care or experienced, this is an opportunity to build a rewarding, long-term career - any truly make a difference! About the Service – Magnolia Lodge Magnolia Lodge is a care home which provides care for up to ten people with a learning disability. The home is a large detached building situated on a main road on the outskirts of Reading. It is situated near to local amenities and public transport. The Role You will: Deliver person-centred support in line with individual support plans Assist with daily living skills and personal care where required Promote independence, dignity, and wellbeing Support activities, appointments, and community access Maintain accurate records and work effectively as part of a team Work a rota including evenings, weekends, bank holidays, and sleep-ins Who We’re Looking For We’re seeking people who are caring, patient, and respectful, with a positive and resilient approach. You should be confident working independently and within a team, have good communication skills, basic IT and written abilities, and be flexible and reliable. No previous experience? No problem! If you have the passion, we’ll provide full training and a structured induction programme. Requirements Willingness to work towards Level 2 in Health and Social Care Ability to work unsociable hours on a rota basis Drivers is essential Enhanced DBS required (paid for by CareTech) What We Offer Recommend A Friend Bonus Up to 28 Days Holiday, inclusive of Bank Holidays Free DBS Check Blue Light Card Stakeholder Pension Free Employee Assistance Programme Annual Employee Awards Evening Employee Recognition Schemes Ongoing training with clear career progression opportunities, including access to qualifications up to degree level CareTech Foundation - Opportunity to apply for family and friend’s grant Our Values Friendly Positive Innovative Empowering Person-Centred Apply today to join a friendly, empowering organisation committed to person-centred support and creating Extraordinary Days, Every Day. About CareTech Founded in 1993, CareTech is one of the largest and most reputable specialist social care and special education needs providers across the UK. The Group has a track record of more than 30 years, delivering high quality, person-centred care to those with complex needs. The Group was founded by brother Haroon and Farouq Sheikh, who continue to lead CareTech today, providing continuity of leadership, long term stability and a deep personal commitment to the people we support. CareTech Community Services are proud to inform you that they are a Disability Confident Leader. Due to the high volume of applications, only shortlisted candidates will be contacted within 7–10 days. Some roles may require male or female employees only, where this is a genuine occupational requirement in accordance with the Equality Act 2010. Strictly no agencies

Reinforcement learning or contextual‑bandit decisioning, and offline evaluation for recommendation or decisioning systems.

Deep expertise in LLM and deep learning training and deployment at scale. CrowdStrike seeks a Sr Applied Researcher to join our team building greenfield next-generation AI that stops breaches and is powered by large language models (LLMs), deep learning, and other modern AI techniques. Advanced know

Coach and mentor other ML specialists while staying deeply technical. Machine learning for search, ranking, recommendations or personalisation. Representation learning, embeddings, semantic retrieval or multimodal ML.

Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools. As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructu

Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator.Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text.Create yourself, imagine someone new, or choose from thousands of characters to sha

Deep expertise in machine learning, with hands‑on experience building and deploying large‑scale systems in production environments. Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems. We care deeply about authenticit

Deep expertise in time‑series signal processing and physiological or biomedical ML, including hands‑on experience developing and validating models on noisy, real‑world physiological data. The Data Science team at CoMind develops the algorithms and machine learning systems that transform raw op

Advanced proficiency in Python, modern machine learning libraries, cloud environments (e. We are a fast-growing, collaborative team of Data Scientists and Machine Learning Engineers sitting within Technology. Lead complex initiatives to design, train, and deploy batch and real-time machine learning

Lead the development of cutting‑edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human‑led triaging, introduce automation for high‑volume workflows, and perform nuanced analysis of self‑driving behavior to detect critical anomalies. Machine Learning models, with a s

Klarna is seeking a Lead Data Scientist to shape the next generation of consumer-level credit scoring and portfolio valuation models.You will design and maintain real-time PD models and calibration frameworks for underwriting and return optimization.Collaborate with cross-functional teams, translate

Experience with reinforcement learning techniques and environments. As a Research Engineer within Reinforcement Learning, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models. Architect and optimize core reinforcement learning infrastruc

Marshmallow in London is seeking a Staff Data Scientist for Claims to lead AI initiatives across risk decisioning and automation.You’ll bridge data science, engineering and product to deploy robust models in production and drive measurable impact.You’ll own end-to-end ML and Generative AI system

At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale.

So if you\u2019re passionate about learning new things and keen to join our mission, you\u2019ll fit right in.

Develop and deploy advanced machine learning models to solve complex business challenges and drive data-informed decision making. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. Master’s

Our in-house Research Team aims to build foundational expertise and develops the next-generation in of deep learning technologies for life science applications; for example, generative models for protein sequence and structure, protein structure prediction and inverse folding, ML-enhanced molecular

You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

This senior role combines deep technical expertise with strategic leadership in a hybrid London-based arrangement.

Hands-on experience in delivering machine learning models to production at scale. Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting. A genuine passion

You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learning models to production.

Higher is partnering with a leading defence-tech company to hire a Machine Learning Engineer.

Advanced proficiency in Python, modern machine learning libraries, cloud environments (e. We are a fast-growing, collaborative team of Data Scientists and Machine Learning Engineers sitting within Technology. Lead complex initiatives to design, train, and deploy batch and real-time machine learning

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques.

IAG Loyalty, a leader in travel and loyalty experiences, is seeking a commercially minded Data Science Lead to join the Data Products Leadership Team in London.The role blends technical leadership with hands-on delivery across ML solutions that drive customer engagement, profitability and growth acr

Bachelor's degree or equivalent practical experience.Master's degree or PhD in Computer Science or related technical field.Experience developing accessible technologies.Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and intera

DeepMind's GeminiApp team seeks a Data Scientist lead to shape product strategy and manage a growing data science team.

Research Engineer, Machine Learning (RL Velocity). This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferenc

We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. Machine Learning Engineer (Computer Vision). You will be responsible for designing, training, and deploying

Deep understanding of the modern Machine Learning stack, for example:. We are hiring a Principal Machine Learning Engineer to work on cutting‑edge R&D and translating research into customer‑centric solutions. Fuelled by innovation, inclusivity, and a passion for making a global impact through wo

About Us At the company, we are on a mission to help build a better Internet.Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers rangin.Technical Escalations Engineer 2 (Revenue and Cost Management) - APJ.As the co

Sanderson Government & Defence is seeking a Data Scientist with active SC clearance for a 6-month contract in a hybrid working environment.The role offers a day rate of £570 and requires close collaboration with Engineering and MI teams to deliver data-driven insights.The successful candidate will

This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science lan

The position offers a competitive salary ranging from $180,000 to $220,000, flexibility for remote working, a monthly learning budget, and generous options for personal development.

Data Innovation Lab at Tech Impact seeks a Data Scientist for its Fellowship Program in Delaware.The Fellowship runs from July 2026 to December 2026 and is a hybrid, hourly contract with 20 hours per week.You will serve as the primary delivery resource for consulting, study design, analytics/ML and

Provenir in United Kingdom is seeking a senior data scientist to own the identity graph strategy and product capabilities, working hands-on from day one.You will shape graph pipelines, enrichment, and analytics, while mentoring engineers and growing the data science team as value is demonstrated.You

Data Scientist to advance data-driven insights across the private markets and alternative investments.You will mine a large data corpus and build models to reveal opportunities in a $10 trillion market, translating complex results into clear narratives for senior stakeholders.The role emphasizes SQL

Capstone Investment Advisors is seeking a data-focused professional in London to join the Data and AI group.You’ll integrate diverse data sources, work with quants and engineers, and develop data-driven decisions for investment strategies.The role emphasizes problem-solving, collaboration and inno

Global FTSE PLC is seeking a Principal Data Scientist for its AI & Data Strategy within the Group Internal Audit team.This role offers a rare opportunity to build an AI-driven capability from the ground up - transforming Internal Audit from traditional sampling and retrospective reviews into continu

Tripadvisor is seeking a Principal Product Data Scientist to shape vision, set the technical direction, and drive strategic impact through innovative analytical solutions.You will partner with Product, Engineering, Design, and Commercial teams to define metrics, build scalable data platforms, and ad

Deep expertise in LLM and deep learning training and deployment at scale. CrowdStrike is seeking a Applied Researcher to join our team building greenfield next-generation AI that stops breaches and is powered by large language models (LLMs), deep learning, and other modern AI techniques. Advanced kn

Expedia Group is seeking a Senior Data Scientist in London to provide analytics and decision support for the Localization product within Content Product Analytics.You will partner with cross-functional teams to understand user behavior, run experiments, and solve problems using statistics and causal

Significant experience applying advanced statistical techniques, machine learning, and AI principles to solve complex business problems. Extensive experience with machine learning frameworks (e. Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Operational Research, Statistics, or

We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. This role demands a balance of deep technical expertise an

Staff Machine Learning Engineer (Technical Lead, Machine Learning). Working at the intersection of research, infrastructure, and product, you'll be responsible for turning research direction into reliable, scalable, production‑grade machine learning systems. Experience building and deploying real

United States Digital Space LLC in the United Kingdom is seeking a Lead Data Scientist to set technical direction and deliver high-impact, scalable AI solutions for public and private sector clients.You will mentor cross-functional teams, shape technical standards, and build long-term client relatio