Senior Machine Learning Engineer in Camden Town

Location: Camden Area
Salary: £110,000 per year
Recruiter: La Fosse Associates
Job Hours: Full-time

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Senior Machine Learning EngineernPaying up to £110,000nHybrid in LondonnHigh-performing AI Start-up



La Fosse is currently working with a cutting-edge artificial intelligence and cyber security start-up company specialising in AI for binary analysis, who are looking to hire a talented Senior Machine Learning Engineer into their high performing team.



If you’re looking for an opportunity where you will develop AI that fundamentally understands computer software at the binary level, then this is for you!

You will combine static and dynamic program analysis with state-of-the-art AI models, to assist their customers in binary reverse engineering, vulnerability detection, exploit generation, software supply chain security, and malware detection.



They are seeking an Senior Machine Learning Engineer to join the team and implement state-of-the-art machine learning techniques into the product pipeline.

You will contribute to the development of their foundational large language model (LLM) binary code embeddings and research new methods using graph-based models for segment classification.



Key Responsibilities:nImplement state-of-the-art ML techniques and integrate them into our product pipeline.

nDevelop and refine foundational LLM binary code embeddings.

nResearch and innovate new methods using graph-based models for segment classification.

nCollaborate with cross-functional teams to develop and deploy AI models.



Requirements:nPhD in AI or Computer Science with at least one top-tier publication.

nStrong proficiency in Python, Numpy, Scipy, and Tensorflow/PyTorch.

nExtensive understanding of state-of-the-art LLMs and the latest research methods and best practices.

nExperience in developing ML pipelines and deploying AI models to cloud service providers is preferred.

nIdeally 3-5 years experience in a similar role.



If this role sounds of interest and you feel you fit the job requirements, then apply through the advert to find out more!



Senior Machine Learning Engineer


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About La Fosse Associates

lafosse.com

Recruitment Agency


La Fosse is on a mission to help our customers achieve their ambitions, working by their side to create a total talent solution from the classroom to the boardroom. Our vision is simple: to lead by example to achieve a change in the standards of care within our industry.

We partner with our customers to build solutions for their business and people challenges, leveraging our recruitment, academy, solutions, and executive search offerings. Our expert teams work at all levels on a permanent, contract, interim, and executive search basis.

We help add short-term capacity whilst building long-term capability, filling immediate skills gaps and, more importantly, solving future needs with outstanding, diverse talent.

Company culture is a huge focus for us, promoting an inclusive, caring environment that supports our employees in reaching their career goals.

We’ve won several awards along the way, including:
• 13th Best Large Company to Work For in the UK, 5th Best Recruitment Company to Work For in the UK, 13th Best Large London Company to Work For, Highly Commended for Biggest Improvement for Large Companies in the UK, Special Recognition for 10 years of Commitment to being a Best Company to Work For. Best Companies (2022)
• Top 40 Best Small Company to Work For in the UK. Sunday Times 2013 – 2021 inclusively
• Top 250: 241st in the PwC Top Track 250 List. Sunday Times (2020)
• Top 100: 56th in the Profit Track 100 List. Sunday Times (2020)
• Top 200: 7th Place in the HSBC International Track 200 List. Sunday Times (2020)
• Winner: Candidate Service Award. TALiNT International TIARA Awards (2020)

Whether you're a customer, candidate, prospective student, or potential colleague, find out how we can support your recruitment and career goals http://www.lafosse.com

Executive Search | Interim Management | Academy Training | Technology & Security | Digital & Data | Business Change & Transformation

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