agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines. Package Description more »
datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Strong analytical and problem-solving abilities, with the capability to work on complex issues and drive innovative solutions. Deep understanding of more »
end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong experience in data pipelines and deploying ML models Preference for experience more »
frameworks of, insight products, ensuring the portfolio is built and operated in compliance with company policies. Designs and manages the product lifecycle management and MLOps process for all insight products. Oversees and optimizes technical architecture across all machine-learning products to ensure efficient delivery of consistent high-quality output. Why more »
Python and MLOps Developer - London - Hybrid My client is dedicated to making the world’s intractable data interactable. They address the challenge of sharing essential data needed to solve global problems. Current data infrastructure limitations result in slow, costly, and often ineffective workarounds for collaborations between trusted partners. My client … accelerating the delivery of critical medicines to those in need. Thanks to growth, they're seeking a senior Python Software Engineer with expertise in MLOps and ideally desktop app development to join their Engineering team. This role involves developing a cutting-edge desktop application and its associated Python backend. The … maintaining flexibility and robustness across different environments. Key Technologies Needed for the Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies more »
rollout and continuous improvement. - Establish best practices, standards, and processes for ML model development, validation, and production deployment, leveraging cloud infrastructure (AWS, Azure) and MLOps principles. - Develop and implement robust performance metrics and KPIs to measure the success and impact of ML and LLM initiatives, ensuring alignment with business objectives … science teams, fostering a culture of innovation and collaboration. - Extensive experience in cloud-based ML model deployment, leveraging infrastructure-as-code (IaC) principles and MLOps best practices. - Experience working in regulated industries, with a strong understanding of data privacy, security, and compliance requirements (e.g., GDPR, EU AI legislation). - Proven more »
W Talent are currently working with a company within the Financial Services space who are growing rapidly and looking for a Senior Data Scientist. This is a great opportunity for somebody who has a few years experience within data science more »
Who we are International Technology & Advanced Analytics (IT2A) is a multi-national function of Walgreens Boots Alliance (WBA) based in the UK, Europe, Asia, South America and the USA. We use emerging technology and data to transform our pharmacy and more »
GenAI expertise. What You Bring: Essential: 5+ years in AI and Big Data, with 3+ years in a customer-facing role. Proficient in Kubernetes, MLOps, and AIOps tools. Strong ability to engage with customers, plan and organize workshops, and present findings persuasively. Desirable: Familiarity with Nvidia AI tools, and experience … with LLMs. Hands-on experience with MLOps tools like cnvrg.io, mlfow, and Domino. University degree in Machine Learning and relevant industry certifications are a plus. Apply now to discuss more »
Location: London, Manchester, Glasgow (hybrid working arrangements, typically 2 days per week in the office). Employment type: Permanent. Salary: up to £100,000 dependent on experience, plus bonus and other benefits. An overview of the role: We're seeking more »
Greater London, England, United Kingdom Hybrid / WFH Options
Hunter Bond
Job Title : ML Ops Software Developer – Elite Fintech Startup (£160,000 + Hybrid) Client : Elite Fintech Startup Salary : £160,000 + performance-based bonuses Location : London/Hybrid Roles and Responsibilities : We are working with an Elite Fintech Startup who more »
Do you want do "actual" AI - Solving interactive physics? 🤖 You will build a super intelligent AI Platform for breakthrough engineering, empowering engineers to solve previously intractable problems by leveraging cutting-edge technology and innovative methodologies. They are on a mission more »
W Talent are currently partnered with a fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data more »
Enterprise Data Architect Location: Central London (Hybrid - 2/3 days a week in the office) Contract Length: 12 months Rate: £650-£750 per day (Inside IR35) The client is seeking an experienced Enterprise Data Architect to join their team more »
Brackley, Northamptonshire, East Midlands, United Kingdom
The Mercedes AMG-PETRONAS Formula One Team
Desktop applications written in Windows Presentation Foundation using ReactiveUI and/or ASP.NETCore web services Good understanding of Git Experience of Machine Learning Operations (MLOps) Practical understanding of computational statistics Good communication skills, including the ability to explain technical concepts to users Experience of working on multiple projects in parallel more »
If you have in significant experience in ML software development and pipeline configuration, this is a rare opportunity to use your expertise to help shape the ongoing success of a science-based SME with a bright future. Collaborate strategically with more »
with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge and experience in deploying models into business processes, preferably in the healthcare, insurance or financial more »
science teams, fostering a culture of innovation and collaboration. - Extensive experience in cloud-based ML model deployment, leveraging infrastructure-as-code (IaC) principles and MLOps best practices. - Experience working in regulated industries, with a strong understanding of data privacy, security, and compliance requirements (e.g., GDPR, EU AI legislation). - Proven more »
Reigate, England, United Kingdom Hybrid / WFH Options
esure Group
and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc are desirable We’ll help you gain Experience working in more »
models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live models (monitoring MLOps and model performance) and taking initiative to refit and calibrate to latest experience to continue to deliver optimal business value Work closely with other Data more »
to haves includes: Kubernetes, Docker, BigQuery, Cloud, Databases Interest in FinTech Data Engineer Responsibilities: Creating new data pipelines Implementing automated data pipelines and overseeing MLOps processes to streamline the workflow of the Data Scientists Examine code from fellow engineers, contribute to the establishment of best practices, and design patterns for more »
Prometheus Graphana Cloud provided (preferably GCP but AWS and Azure are also considered) CI/CD with Jenkins or Octopus Nice to have Datadog MLOPS Salary Up to £100K basic + £112.500K RSUs + 7.5% bonus Submit your details for more information about this opportunity. RedCat Digital is acting as more »
Cloud Engineer working within Financial Services for an initial 6-month contract, this will be paying between £750 - £850 per day (inside IR35). This is a Hybrid role, split: 3 days per week in the London office. Job Summary more »
We are looking for a skilled MLOps Engineer to join our dynamic team, focusing on deploying, managing, and optimising Large Language Models (LLMs) across various platforms. The ideal candidate will have a strong background in MLOps, with experience in deploying models on multiple GPUs, scaling, load balancing, and managing data … for model training, preferably using Kubeflow. Establish continuous integration and delivery pipelines using Docker, Kubernetes, or AWS counterparts (e.g., ECR). Visualise fine-grained MLOps data using industry standard tools and platforms Ensure system security through triaging, log analysis, and infrastructure debugging. Implement Infrastructure as Code using tools like Terraform … or CloudFormation. Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent experience. Solid experience with MLOps practices, deploying on multiple GPUs, and managing scalable systems. Proficiency in Kubeflow, Docker, Kubernetes, and AWS services. Experience with LangChain, prompt engineering, and fine-tuning LLMs more »
Machine Learning Manager Belfast £130,000 + Bonus This client revolutionises the way companies manage and interpret their communications - they spot business critical signals that their clients can use for real innovation and growth. Their Belfast office employs some of more »
