learning: supervised & unsupervised · Instruct external annotators and manage annotation tasks · Written and verbal communication skills · Presentation skills Desirable skills · SQL · Cloud: AWS · Programming languages · MLOps processes and tools · Interest in the dairy industry is useful · Team leadership or mentoring experience What we’ll offer you in return Full-time, Permanent 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 »
Reading, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/ more »
Staines-Upon-Thames, England, United Kingdom Hybrid / WFH Options
IFS
cloud SDKs and APIs. Deep understanding of AI/ML to enhance pipeline efficiency, with experience in TensorFlow, PyTorch, AutoML, Python/R, and MLOps platforms like MLflow and Kubeflow. Solid background in DevOps , including CI/CD automation with Bitbucket Pipelines, Azure DevOps, and GitHub. Capability to automate the more »
Milton Keynes, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as 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 »
Staines-Upon-Thames, England, United Kingdom Hybrid / WFH Options
IFS
and libraries. Experience with ML experiment tracking and collaboration tools like MLflow and Weights & Biases . A strong foundation in software engineering, DevOps practices, MLOps deployment, and infrastructure management. An affinity for generative AI frameworks and SDKs , such as RAG, Langchain, Semantic Kernel, and tools like MS tooling, Co-Pilot more »
Staines-Upon-Thames, England, United Kingdom Hybrid / WFH Options
IFS
environments, ensuring seamless integration with legacy systems. S trong AI and ML principles , with a track record of model development, deployment, and mastery of MLOps practices. Experienced in crafting enterprise-scale cloud-native AI/ML solutions Proficiency in data pipeline orchestration across hybrid environments, leveraging the latest in Azure more »
Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. You can 📧 your cv to matt@hawksworthuk.com or message me on LinkedIn. Ideally you'll have plenty more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as more »
would be an advantage. Other languages such as C# would be beneficial but not essential. · Machine Learning and Data Science Tools - Any experience in MLOps and productionising data science initiatives would be beneficial. Data Analysis and Storytelling - Proficiency in interpreting data analysis results and drawing meaningful conclusions Please don't more »
techniques as well as evaluating metrics to drive optimizations using tools like Elastic stack, Prometheus, Alibi detect, etc. A solid background in DevOps and MLOps practices, and familiarity with tools to manage infrastructure as code, like Terraform and package managers like Helm Charts. Proficiency with pipeline orchestration tools, such as more »
Basingstoke, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
Principal AI Engineer – GenAI MLOps and GenAI – Hybrid working As a Principal AI/ML Engineer, are you ready to pioneer the future of GenAI technology? You'll have the opportunity to work on the forefront of GenAI technology, strategizing, building, driving innovation and shaping the future of automation solutions. more »
Bedford, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience 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 »
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 »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
team members from multidisciplinary backgrounds. Interest in promoting your work and the ways we have solved complex challenges. You might also have Experience in MLOps including experiment tracking and model deployment Experience with current LLM frameworks, such as LangChain and open-source LLM deployment (e.g., llama-cpp, ggml, Xorbits Inference more »
will be the Senior Product Manager for a group of cross-functional Data Platforms teams within Oxa, incorporating the following key teams: Data Engineering; MLOps; Replay/Simulation as a Service; and Telemetry & Metrics. These teams are located in both our Oxford, UK HQ & Toronto, CA offices and support the more »
from leading investors so far, with $140 million raised in the last Series C funding round in January 2023. Your Role As a Senior MLOps Engineer you will be responsible for designing and building cloud solutions to support the activities of machine learning engineers across the company. You will build … On a day to day basis you will prototype tools and APIs to allow ML engineers to access cloud based infrastructure developed by your MLOps colleagues, iterating towards a production-ready service. In developing solutions you will carefully consider the skillset of the end user and design and document tools … accordingly. ML team members will come to you as the authority regarding MLOps best practices and you will provide training in the use of in-house and third-party MLOps tools. In addition to supporting ML teams with their custom MLOps requirements, you will form part of the MLOps platform more »
monitoring, telemetry, intelligence tools and processes, including Grafana. Defining infrastructure-as-code Desirable Skills AWS AI and OCR services such as Textract, ML/MLOps OpenShift/Kubernetes/Docker PyTorch What you need to do now If you're interested in this role, click 'apply now' to forward an more »
highly technical environment Extensive Python experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer Science or a related field Salary: £70,000 - £100,000 DOE more »
🧠 Machine Learning Ops Engineer Are you ready to leverage AI for unforgettable customer experiences? 🔍 We're hunting for a Machine Learning Engineer to join our pioneering team, shaping the future of customer interaction through NLP and Machine Learning Ops. Your more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
CD best practices to increase the efficiency in deployment and management of resources. Experience with building and or using model management tools (e.g. MLflow)& MLOps (model orchestration, updating, etc.) Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to more »
and apply it to business needs. Experience with modern technologies like Cloud native, containers and serverless technologies. Desirable Knowledge of frontend technologies and frameworks MLOps knowledge Benefits 27 days of annual leave Healthy half (0.5 day leave every 6 months for wellbeing) Leave- study/volunteer/reserve forces Pension more »