Senior ML Engineer

Applied Data Science Partners
London, UK
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£64,000.0 - £90,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Data Transformation Data Mining Python (Programming Language) Machine Learning NumPy Power BI Standard Sql SQL Databases Tableau (Software) Reinforcement Learning
+10 more
Jupyter Notebook Large Language Models Deep Learning Git SC Clearance Pandas Scikit Learn Xgboost Build Process Docker

Job description

  • 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, * Do you hold sole British Citizenship? This role will require working on defence projects that are ‘UK Eyes Only’.

Requirements

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., * 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 mins live coding task in Python

Stage 3: 90 min F2F interview in our London office, * Do you meet the requirements for SC clearance? You must have lived in the UK for at least the last 5 years AND spent no more than 30 consecutive days outside the UK in the past 5 years.

Benefits & conditions

Job Types: Full-time, Permanent

Pay: £64,000.00-£90,000.00 per year

Benefits:

  • Additional leave
  • Bereavement leave
  • Company events
  • Enhanced maternity leave
  • Enhanced paternity leave
  • Private medical insurance
  • Sick pay

About the company

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 (1 day 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

Apply for this position

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