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 »
Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational or customer experience-related problems such as more »
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 »
the agile framework and processes enabling every function to turn requirements and ideas into insights that support data based decisions. Adopt DevOps, DataOps and MLOps frameworks and best practices as the standard for all data engineering across the company. Development and monitoring of MI and AI engineering quality metrics and more »
Surrey, England, United Kingdom Hybrid / WFH Options
Hawksworth
for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors more »
MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior more »
MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior more »
W1B, Piccadilly Circus, Greater London, United Kingdom
ADLIB Recruitment
Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform. Based in the vibrant heart 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 »
working with vector databases, e.g. Pinecone. Knowledge of modern software engineering best practices e.g. test-driven development, CI/CD, containerisation, Kubernetes Knowledge of MLOps/LLMOps, including model deployment, serving, and monitoring. Experience working in an Agile environment. At Alpha Matica, we are staunch advocates of diversity and firmly more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and establish best practices in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services more »
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. Key Skills Required: Solid understanding as a Security Architect, with more »
and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in working in a fast paced environment more »
Oxford, England, United Kingdom Hybrid / WFH Options
Oxford Dynamics
workflow within a production team Experience with Agile product development Experience of working in a start-up Best practices in data engineering Familiarity with MLOps Experience with building Restful services Experience presenting in front of project stakeholders Keen business development interest Start date : Immediate Contract Type : Permanent Oxford Dynamics is more »
Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute to the growth of the AI team 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 »
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 »
Introduction Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely more »
commercial setting too! Essentials: 5+ years experience as a Data Scientist Proven expertise with deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is more »
command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent in utilizing Linux, Docker, AWS, Kafka, and git Consistent practice of best software development methodologies more »
cars faster and achieve greater sustainability through Machine Learning. As a Machine Learning Engineer/Data Scientist you will apply advanced Machine Learning and MLOps techniques to develop scalable, efficient solutions that solve real world customer problems. You'll collaborate with Agile engineering teams and write code (in Python) that 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 »
a team NICE TO HAVES Distributed machine learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow) Productionisation experience on multiple clouds Familiarity with MLOps principles and practices, and their application in a production setting COMPENSATION/BENEFITS : £100k salary (or more depending on experience) + equity 30 days annual 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 »
MLOps Engineer £70,000-£80,000 Hybrid in London (1-2 days a week) One of La Fosse’s clients that are a leading financial services company with a focus on technological advancement, delivering cutting-edge services in a rapidly evolving industry are looking to hire an MLOps Engineer into … their team. This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine learning models in production environments. … security. If this role looks of interest and you feel you fit some of the requirements, apply through the Ad to find out more! MLOps Engineer more »