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Applied Data Science Partners Ltd. is seeking a Machine Learning Engineer to design, develop and deploy data science solutions in real-world client projects.
You will work closely with our team to move from solution design to deployment, applying best practices and cutting-edge ML techniques. You will train models, transform data, and present insights via live dashboards, collaborating across data science and engineering disciplines.
We are looking for a Machine Learning Engineerwhoenjoys 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.
Participate in the design, development, testing, and evaluation of data science solutions
Train and deploy state-of-the-art machine learning 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
Support the presentation of findings to clients through written documentation, calls and presentations
Adopt data science best-practice e.g. Git / Docker / cloud deployment
Experience with applied machine learning techniques in Python (e.g. xgboost, regression, decision trees)
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
Strong foundation in mathematics and statistics
Proficiency in Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy)
Knowledge of data analysis techniques, such as statistical modelling and visualisation, to draw insight from data
Familiarity with Git as part of the development process
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
Understanding of classical machine learning concepts and principles (e.g. xgboost, regression, decision trees)
Stage 1: 20 min video call with a member of the hiring team
Stage 2: 45 mins live coding task
Stage 3: 90 min F2F interview in our London office
At ADSP, we believe in rewarding talent and supporting your growth. Here’s what you can look forward to as part of our team:
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
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