deployment. Solid understanding of SDLC and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do more »
solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. Great people skills will be also vital in the role. You will be working with, and expected to influence, colleagues 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 Driving best practices in a fast paced environment, within a well established company Your Skills and Experience: MSc or PhD level education in STEM 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 »
Manchester, North West, United Kingdom Hybrid / WFH Options
N Brown Group
We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable more »
visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery 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 »
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 »
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 »
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 »
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 »
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 »
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 »
a leader in generative AI technologies, who have recently secured Series A funding to advance our work in digital avatars and human clones. Role: MLOps Engineer Location: London Salary: Up to £100,000 Responsibilities: Develop ML Pipelines: Build and maintain scalable data processing systems. Ensure data quality and integrity. Automate more »
close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus Portfolio optimisation/market impact models/optimal execution/transaction cost analysis a strong plus Experience with production front office trading more »
Senior Data Platform Engineer Up to £80,000 1 day a week in office (flexible) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning more »
Fin-Tech Scale-Up 🚀 📢 Permanent + Fun Social Team + Share options Are you a 2024 graduate passionate about Data Engineering and working with MLOps? Are you looking for a fantastic environment to start your career in? Here’s your chance to be a part of a fast-growing and … their Data team and work with developing new data pipelines, helping to deploy new features to their stack, and help build and run their MLOps! What you would ideally have 🖥️: Degree from top Russell Group universities in a related field (i.e. Maths, Physics, Computer Science, etc.) Experience using Python and more »
Data Scientist (Pharma) Fully remote (UK/Ireland/Europe) Salary up to £75k depending on experience MBN Solutions are delighted to have been retained by their client, a powerhouse in the Pharmaceuticals industry, to onboard a talented and innovative more »
small high calibre team Work closely with cross-functional teams, including Engineering, Intelligence, and Product, to achieve project goals. Apply your technical ML/MLOps knowledge to enhance the current systems and architecture. Stay actively informed about the most recent developments and advancements in AI REQUIREMENTS: Hold a relevant degree … at the MSc or PhD level, 5+ years of product management experience is required Hands on experience with MLOPs tooling is required UI/UX design experience Data Science/Software Engineering skillset Excellent communication skills NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »
Job Description DevOps Engineer with AWS To successfully build and deliver our next-generation cloud-hosted and cloud-native technology platforms. You will work within product teams responsible for the full software development life cycle, from conception to deployment. You more »
Leeds, West Yorkshire, Yorkshire and the Humber Hybrid / WFH Options
Nexus Jobs Limited
Job Description DevOps Architect with AWS Our Client is an established international company with offices in Leeds UK. The looking to recruit a DevOps Architect with at least 3 to 5 years expertise as DevOps Architect around an AWS environment. more »
Job Description DevOps Architect with AWS - Leeds Serve as an AWS specialist, consult and provide technical guidance on AWS design, governance, performance, scalability, security, operations and cost control best practices to ensure we maximize our AWS investment Work with our 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 »
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 »
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 »
