We are looking for a
Senior Machine Learning (ML) Engineer
who enjoys seeing their work used as part of ‘real‑life’ solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team.
In short, you’ll form an integral part of our close‑knit team and will have the opportunity to directly contribute to the continued success of the business. We’re looking for someone with a co‑operative, can‑do attitude who can build high‑quality data science solutions.
If this sounds like you, we can’t wait to hear from you!
KEY RESPONSIBILITIES:
Actively contribute to the design, development, testing, and evaluation of data science solutions
Train and deploy state‑of‑the‑art machine learning and reinforcement learning models
Build AI systems using Large Language Models
Build processes for extracting, cleaning and transforming data (SQL / Python)
Ad‑hoc data mining for insights using Python + Jupyter notebooks
Present insights and predictions in live dashboards using Tableau / PowerBI
Lead the presentation of findings to clients through written documentation, calls and presentations
Actively seek out new opportunities to learn and develop
Be an example of data science best‑practice (e.g. Git / Docker / cloud deployment)
Contribute to proposals for exciting new data science opportunities
Provide direction and mentoring to more junior data scientists
KEY REQUIREMENTS:
Experience of presenting technical concepts to stakeholders
Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions
Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees)
Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning)
Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices
Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL
Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework
Excellent communication skills through written reports and presentations
Effective organisational skills e.g. planning, time management
Effective problem‑solving and analytical skills
High attention to detail
Ability to work independently and as part of a team
Strong foundation in mathematics and statistics
INTERVIEW PROCESS:Stage 1: 20 min video call with a member of the hiring team
Stage 2: 45 min live coding task
Stage 3: 90 min F2F interview in our London office
OUR BENEFITS:
Competitive compensation package including annual performance bonus
26 days of annual leave, 8 bank holidays plus your birthday off
BUPA Private Healthcare
Enhanced family leave
£1,000 annual development budget
Flexible hybrid working (2 days a week in our modern Shoreditch office)
Remote working from anywhere in the world for up to 4 weeks each year
Latest tech that suits your needs: high‑spec Windows machine or a MacBook
Free snacks and drinks, and regular team socials
Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries
Join us and realise your full potential in a collaborative, forward‑thinking team, where your work will help shape the future.
OUR COMMITTMENT TO DEI:At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at careers@adsp.ai
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