51 to 61 of 61 Machine Learning Engineer Jobs in London

and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.About the team:The Conversion ML team is responsible for improving and maintaining machine learning models that have a pivotal impact on the performance of Accelerate customers’ advertising campaigns. The team collaborates closely with other ML-oriented … month if located in one of the above countries. Responsibilities:Own both the ML models and the underlying software tooling and infrastructure. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies.Have a closed feedback loop from hypothesis generation to live AB … LI/Ooyala/etc).Requirements: Very strong coding ability (experience in Go or Clojure is a plus).4+ years of industry experience applying Machine Learning to large scale problems.Strong core CS fundamentals (data structures, algorithms, architecting systems).A passion for quality and excellence, and the ability to more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team Low ego management style Strong Python coding experience Experience with the SQL querying language Experience working with Docker both in more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

I'm currently working with an energy trading client who is looking to continue scaling their team and are currently searching for a Machine Learning Engineer and will consider individuals from a Python Engineering or Data Science background. Based in Central London, this company offers hybrid working more »

INFOLead Machine Learning EngineerUp to 115,000 + benefitsLondon - 3 days a weekThis is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work end to … and deploying models.The Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clientsPart of a team of 12 reporting to the Head of Data ScienceChance to have 1 direct report more »

Role: Senior ML Engineer 💸Salary: up to $85,000 🏁Sector: B2C Mobile App 📍Location: Remote (UK, Germany, Italy, Spain or Portugal) Join one of the fastest growing consumer businesses in Europe who have built a nutritional app with a global reach of millions of users. We're on the … lookout for a Senior ML Engineer to be responsible for integrating machine learning into their platform. This role is crying out for someone who wants a blank canvass, and play a key role in setting up tools, processes, monitoring and scouting out where to apply ML. Core … be applied, set out how ML will be evaluated and monitored. Looking for: A minimum of 3 years' hands-on experience as an ML Engineer Demonstrated track record of driving the success of ML platforms and models Proven expertise in crafting, deploying, assessing, and optimising ML models Robust engineering more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from an … level summary to the research team Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or more »

to the office! Job Description The job at a glance Join our team and youll work closely together with 2 teams of data scientists & machine learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical more »

continuous-integration pipelines, unit testing, code review. » Working knowledge of quantum computing algorithms and applications. Hybrid classical/quantum algorithms are included.» Experience with Machine Learning/AI algorithms.» Demonstrated knowledge and experience with Tensor Network based numerical simulation methods is a plus, with a focus on ML 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 »

Company Description Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to more »