1 to 25 of 37 MLOps Jobs in Berkshire

Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL 5+ years of experience as MLOps engineer or DevOps roles, working with MLOps platforms Experience with Kubernetes on a major cloud provider and IAC **Please note that this role does not offer visa sponsorship** How to More ❯

to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model deployment, and performance tuning. Evaluate and implement new frameworks, tools, and cloud-native AI solutions (including LLMs). Make strategic technical decisions that align with broader business goals. Support More ❯

to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model deployment, and performance tuning. Evaluate and implement new frameworks, tools, and cloud-native AI solutions (including LLMs). Make strategic technical decisions that align with broader business goals. Support More ❯

to extract insights and communicate results effectively. Innovate new modelling and machine learning approaches to enhance existing processes and capabilities. Collaborate with cross-functional teams, including engineering, product management, MLOps, and leadership, to define problem statements, scope projects, and deliver analytics solutions. Mentor peers in data science and model development, promoting best practices. Remain abreast of the latest technologies and More ❯

pipelines. Familiarity with data lake architectures and tools like Delta Lake , LakeFS , or Databricks . Knowledge of security and compliance best practices (e.g., SOC2, ISO 27001). Exposure to MLOps platforms or frameworks (e.g., MLflow, Kubeflow, Vertex AI). What We Offer Competitive salary + equity Flexible work environment and remote-friendly culture Opportunities to work on cutting-edge AI More ❯

pipelines. Familiarity with data lake architectures and tools like Delta Lake , LakeFS , or Databricks . Knowledge of security and compliance best practices (e.g., SOC2, ISO 27001). Exposure to MLOps platforms or frameworks (e.g., MLflow, Kubeflow, Vertex AI). What We Offer Competitive salary + equity Flexible work environment and remote-friendly culture Opportunities to work on cutting-edge AI More ❯

/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect More ❯

and frameworks to enhance the overall security posture of AI/ML and other business systems. Develop and maintain relationships between data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and support scalability of the ML and AI initiatives. Essential skills/knowledge/experience: Solid experience as a Security Architect, with a focus More ❯

team will design and deploy advanced models that improve supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll be supported by a modern MLOps and Data Engineering function, giving you the time and tools to focus on innovation , model development , and strategic delivery . This is a hybrid role , with flexibility to work from … mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams to productionise models using robust and scalable pipelines. Champion the integration of model outputs into wider data and reporting platforms. Clearly communicate technical insights and model outcomes … functional squads. What You’ll Get in Return A leadership role where your work has direct and measurable impact on operational efficiency and bottom-line performance. Dedicated support from MLOps and Engineering teams to accelerate delivery. Access to career development support including coaching, mentoring, and leadership training . A competitive salary package including car allowance , bonus , and comprehensive benefits such More ❯

PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary + bonus. Hybrid working arrangement (minimum 3 days in the London office) #J-18808-Ljbffr More ❯

SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar), and understanding of best practices for the full software development life cycle. Strong programming skills: Proficient in Python More ❯

SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar), and understanding of best practices for the full software development life cycle. Strong programming skills: Proficient in Python More ❯

for data science (DS). Low/no code approach to DS/AI IDEs & notebooks. Git & GitHub (or similar) Production: Serving to APIs, e.g. Streamlit, Dash Production particularly MLOps/LLMOps Good To Have Skills Fabric Copilot, Copilot Studio PySpark, R, Julia Databricks CRM familiarity, e.g. Salesforce Able to learn new skills on the fly, staying topical in a More ❯

like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions. Knowledge of MLOps practices and tools, such as MLflow or Kubeflow. Strong problem-solving skills, with the ability to troubleshoot both ML models and data systems. A collaborative mindset and ability to work More ❯

Press space or enter keys to toggle section visibility Location London, Reading Job Family Digital & Technology Job Type Full Time Posted Date 06-May-2025 Ref # 66720 We have an amazing opportunity for a Senior Data Scientist to join More ❯

cutting-edge machine learning solutions that influence decision-making across a large, fast-moving business. You'll have access to vast datasets, modern tooling, and the support of experienced MLOps and Data Engineering teams – freeing you to focus on model innovation , business impact , and team leadership . Key Responsibilities Lead and coach a team of data scientists focused on pricing … senior stakeholders to prioritise and deliver key initiatives. Work cross-functionally with Marketing and Operations data teams to extend the reach of data science across the organisation. Collaborate with MLOps and Engineering teams to ensure seamless product delivery and integration. Promote the use and value of pricing models to non-technical stakeholders through clear and effective communication. Continuously improve the … flexible hybrid work model (Reading or London) and a collaborative environment. A role where your models directly shape pricing, influence profitability, and deliver real commercial outcomes. Support from seasoned MLOps and engineering teams – letting you focus on research, modelling, and innovation . If you’re passionate about pricing science and ready to step into a leadership role where your work More ❯

core AI platform capabilities, supporting a Machine Learning Engineer on classical ML projects, and building the foundation for a future Data Science function. You will also define LLMOps and MLOps practices and ensure the infrastructure is in place to support long-term AI success across the business. Key Responsibilities: Strategy & Leadership Collaborate over the AI roadmap across GenAI, ML, and … lifecycle automation. Maintain awareness of emerging models and integration strategies. Machine Learning Engineering: Support the ML Engineer in model development, deployment, and monitoring. Contribute to pipelines, experimentation design, and MLOps enablement. Provide code and architectural reviews, as well as technical mentoring. Data Science Enablement Act as Data Scientist to support analytics and decision-making needs. Develop experimentation frameworks, metric definitions … and deploying GenAI applications in production. Strong hands-on knowledge of LLMs, prompt engineering, and retrieval-augmented generation (RAG). Practical experience with traditional ML, including data pipelines and MLOps workflows. Working knowledge of statistical modelling and experimentation. Proficiency in Python and at least one additional general-purpose language. Strong understanding of cloud-native architectures (AWS preferred). Experience leading More ❯

Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. Requirements You We are looking for someone who is as excited about Unitary’s mission … better, but not essential, if you have: Experience working in a fully remote, international team Previous startup experience A background in building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases More ❯

serves machine learning models at scale. You’ll take full ownership of the infra stack — from backend APIs to deployment and scaling. This role sits at the intersection of MLOps, cloud-native architecture, and distributed systems. What You’ll Do Build scalable APIs with FastAPI (or similar), Python, and modern web tooling Design and maintain ML model serving infrastructure Collaborate More ❯

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

Social network you want to login/join with: Senior Software Engineer, ML Ops, slough col-narrow-left Client: Ki Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 31.05.2025 More ❯

Location: Reading (RG1 1LZ) (2 days p/w in office) Salary: £75k-£85k + bonus Industry: Finance Tech Stack: Python, SQL, Tableau, AWS, Azure 👩🏻‍💻 Great opportunity for a talented Engineer (Python, SQL, Tableau, AWS, Azure) to join a retail More ❯

Lead cutting-edge research - run rapid experiments, RLHF loops, fine-tuning, and retrieval-augmented generation to push the boundaries of clinical dialogue systems. Architect safe, scalable solutions - design reference & MLOps architectures on cloud with robust guard rails in place. Establish governance & guardrails - craft policies, model cards, and internal frameworks that ensure compliance with NHS, MDR, ISO 13485, GDPR, and emerging … fintech, etc.). Strong leadership & mentorship skills; comfortable scaling teams from scratch while fostering an inclusive, high-trust culture. Hands-on experience with cloud architectures, CI/CD, and MLOps best practices. Passion for improving patient outcomes through ethical, human-centric technology. This is an excellent opportunity for a Director of AI & Research to leave a lasting mark on digital More ❯

data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or More ❯