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 »
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 »
Working knowledge of LLMs and related frameworks like Langchain and Semantic Kernel. Understanding of AI agents and their application in business contexts. Familiarity with MLOps/DevOps, particularly within cloud environments. Strong coding skills in Python and experience with C#, Azure Functions, and Event Hubs. A solid understanding of data more »
working with (or strong desire to rapidly learn about) Large Language Models, including: —- Fine tuning using industry-specific data —- Evaluation for specific use cases —- MLOps Offer Competitive salary Remote working with flexible hours 28 days personal time off Employee stock options Regular team meet ups Progression opportunities as we scale more »
Charing Cross, England, United Kingdom Hybrid / WFH Options
BP Energy
to build optimal systems. Experience with creating systems that monitor and react to faults in resources, data streams and model responses. Deep experience with MLOps tools for scalable, production-level deployment including past work with feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation 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 »
MLOPS ENGINEER REMOTE £70,000 - £90,000 COMPANY: A cutting-edge London-based startup specializing in transforming how financial professionals access and utilise data is seeking an experienced AI Developer/MLOps Engineer with LLM experience to join their team. With a strong focus on AI-driven automation and analytics 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 »
Working closely with ML Engineers A lot of scope for growth and future management! Skills And Experience Required Strong exposure to Python, TensorFlow etc. MLOps knowledge A proven track record leading other engineers Good knowledge of CI/CD is a huge plus Experience working within the ML space is 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 »
and SQL. Fluency in English and German, with French being a plus. Desirable experience in Consulting or Customer-facing Data Science roles, Data Engineering, MLOps, WebApps (Javascript, RShiny, Dash), API development, and enterprise data science tools. Passion for teaching or public speaking is advantageous. Responsibilities include: Developing solutions for real 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 »
of Agile software development methodologies and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is more »
of resources. Good communication skills in English, both written and verbal. Experience with building and or using model management tools (e.g. mlflow) Experience with MLOps (model orchestration, updating, etc.) Experience with Kafka is a strong plus as some of the pipelines are event-Driven Nice to have: Experience with setting more »
of NPU/GPU/CPU/AI accelerators Software-hardware co-design work Deep learning frameworks, PyTorch, TensorFlow C/C++, Python Desirable MLOps, including model training, quantisiation, sparsity, model preprocessing etc. ML Compiler stack Verilog/RTL designs What’s on offer? £80-120,000 (depending on experience more »
The extras: Experience working on AI-based products. Distributed computing experience (Spark, MPI, etc) Experience orchestrating workflows, particularly within distributed system environments. Knowledge of MLOps principles and practices, especially in implementing them within production settings. What’s on offer: 30 days paid annual leave + bank holidays Pension with NEST more »
leading the deployment of Data & AI solutions. Proficiency in the Microsoft Azure Data Stack, experience with LLMs, prompt engineering, AI Agents, and familiarity with MLOps/DevOps practices. Strong coding skills in Python and C# are a plus. Exceptional skills in client engagement and strategic solution delivery. Ability to inspire more »
leading the deployment of Data & AI solutions. Proficiency in the Microsoft Azure Data Stack, experience with LLMs, prompt engineering, AI Agents, and familiarity with MLOps/DevOps practices. Strong coding skills in Python and C# are a plus. Exceptional skills in client engagement and strategic solution delivery. Ability to inspire more »
of Agile software development methodologies and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is more »
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.) Additional Information Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are 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 »
scale, complex data sets Technical Insight: Amazon SageMaker; Particularly SageMaker Pipelines, Endpoints, Batch Transformation/Inference, o Ideally SageMaker Studio and related technologies Amazon MLOps technologies; IAM, S3, Lambda, Step Functions, Athena/Glue, CodePipeline Containers orchestration using CloudFormation, Terraform, Docker, Kubernetes Experience in development using Python, particularly using TensorFlow more »
