Are you passionate about cutting-edge AI and machine learning technologies? Do you thrive on solving complex problems and driving innovation? Our client is seeking a dynamic Machine Learning Engineer to join their team on remote basis in the UK.
This is your chance to work with our client’s engineering and AI research teams to take their current project from research to production and launch groundbreaking generative AI product services.
Location: Rathbone Square, London
Type: Remote in the UK
Duration: 12 months
Visa sponsorship: No
Salary: Circa 108K Pro Rata
Job Reference: BBBH 25603
THE ROLE
As a Machine Learning Engineer, you will be responsible for working with strategic partners, machine learning leaders across the industry, and all major cloud service providers for building and launching new Generative AI product services and experiences. You will be working with some of the world’s most influential companies and will play a critical role in taking their current project from research to production.
WHAT YOU’LL DO:
- Develop and launch generative AI solutions using our client’s state-of-the-art.
- Master our client’s AI frameworks and products, understanding their underlying implementations.
- Drive the adoption of our client’s AI/ML platform offerings through strategic engagement.
- Collaborate with cloud providers (Azure, AWS, GCP) and strategic partners on deep learning and LLM integrations.
- Serve as a technical expert, influencing both partners and internal teams.
- Evangelize our client’s AI services and share best practices through blogs, whitepapers, and public speaking events.
- Create reference architectures, samples, and materials for the broader developer community.
- Optimize generative AI models for performance, scalability, and efficiency.
- Lead the technical strategy and roadmap for long-term strategic partnerships with high autonomy.
- Address Responsible AI considerations, identifying risks and involving necessary cross-functional teams.
- Execute projects with minimal oversight, proactively communicating updates to relevant teams.
- Produce clear, concise documentation to explain complex AI concepts to both technical and non-technical stakeholders.
MINIMUM QUALIFICATIONS:
- Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow or MXNet)
- Experience building Deep Learning – Computer Vision or Natural Language Processing or Recommender Systems models using the frameworks.
- Apply relevant AI and machine learning techniques to build
- Experience influencing and building mindshare convincingly with any audience.
- Experience working with internal and external partners
- Data science background and experience manipulating/transforming data, model selection, model training, model optimization, and deployment at scale.
- Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS)
- Experience recording developer educational videos and comfortable with using basic video editing tools.
- (Nice to have) Experience in launching a product/service or application into the market is a plus
- (Nice to have) Knowledge of Mobile/IoT for deploying ML models at the edge is a plus
- (Nice to have) Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions.
If you are a highly technical Machine Learning Engineer with experience in PyTorch, deep learning, and machine learning, we encourage you to apply for this exciting opportunity.
Join this company’s Applied AI Partner Engineering team and work with some of the world’s most influential companies to build and launch new Generative AI product services and experiences.
Apply now!
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Please don’t hesitate to contact any of our team with any questions you may have on Email: [email protected] or Phone: +44 3303351710
