Applied Data Science Partners on cord

Applied Data Science Partners

Lead ML Engineer

External position
London, UK
Data · Consultancy · Machine Learning and AI
We build AI & Data Science Solutions that enable people and companies to thrive.
The company is no longer hiring for this position.

Skills & Experience

Job roles: Machine Learning Engineer, Data Scientist
Experience level: Lead
Tech stack/tooling used: Python
Core skills considered: Machine Learning, Python, SQL, Docker

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 3 remote days p/w)
Visa sponsorship: Not available

Job Description

We are looking for a Lead ML Engineer to drive technical project delivery, guiding teams to develop robust, scalable machine learning and generative AI solutions crafted for our clients. If you enjoy seeing the impact of your work in real-world applications, this role is perfect for you. Not only will you play a critical part in client deliverables, but you will also have the chance to explore and apply cutting-edge machine learning techniques across a variety of industries and geographies, delivering projects end-to-end from initial design to production deployment.

You will form an integral part of our close-knit team, directly contributing to the ongoing success of the business. We are seeking someone with a collaborative, can-do attitude who has a passion for delivering high-quality solutions and is comfortable leading the delivery of innovative, full-stack data science and machine learning projects.


KEY RESPONSIBILITIES:

  • Lead the design, development, testing, and evaluation of AI solutions for the successful delivery of several, simultaneous client projects
  • Build strong client relationships and lead project centred client interactions
  • Oversee the delivery of high-quality code and successful project outcomes
  • Build processes for extracting, cleaning and transforming data (SQL / Python)
  • Build AI systems using Large Language Models
  • Actively seek out new opportunities to learn and develop
  • Be an example of data science and software engineering best-practice e.g. Git / Docker / cloud deployment
  • Write proposals for exciting new commercial opportunities
  • Line manage and provide career mentorship to other data scientists
  • Manage project delivery teams
  • Collaborate with stakeholders to understand business needs and develop technical strategies
  • Take ownership of the development and implementation of internal processes and policies
  • Proactive thought leadership to encourage development and promote ADSP
  • Contribute to the development and deployment of delivery solutions
  • Ad-hoc data mining for insights using Python + Jupyter notebooks
  • Train and deploy state-of-the-art machine learning and reinforcement learning models


KEY REQUIREMENTS:

  • Degree in a quantitative field such as mathematics, statistics or data science
  • Experience of strong communication skills, including leading meetings and presenting technical concepts to stakeholders
  • Experience of successfully leading complex data science and AI projects, including a holistic understanding of the data science development process, from design through to deployment, and associated project management and risks
  • Experience completing code reviews in Python and SQL through Git, and applied other best practices to technical projects
  • Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development
  • 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, LLMs)
  • Experience of using different analysis techniques to draw insight from complex data
  • Understanding of Docker implementations including Docker storage and volumes
  • Ability to successfully manage delivery teams
  • Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion
  • Ability to work with external stakeholders, including management of expectations understanding of business goals and balancing project requirements
  • Ability to think strategically and make complex decisions
  • Effective organisational skills e.g. planning, time management
  • Effective problem-solving and analytical skills, with high attention to detail
  • Familiarity of the most state-of-the-art AI developments and trends
  • Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework

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

Company Benefits

  • Market Competitive Compensation 💰: We benchmark salaries regularly to ensure you're paid fairly for the impact you make

  • Annual Performance Bonus 👛: Your hard work deserves recognition, and we reward it with a bonus tied to your performance and our success

  • Generous Time Off 🏂: You’ll get 26 days of annual leave plus bank holidays, with additional enhanced sick pay when you need to rest and recover

  • Enhanced Family Leave 👨‍👩‍👧: We offer enhanced maternity and paternity leave to help you focus on what matters most when your family grows

  • Your Birthday Off 🎂: It’s your day - enjoy it! On us.

  • Annual Development Budget 🎓: We're serious about growth. You’ll get a dedicated £1,000 budget to spend on courses, conferences, coaching, or anything else that helps you level up

  • Private Healthcare 🏥: Your health matters. Our comprehensive private health plan includes mental health support and fast access to care when you need it

  • Snacks & Socials 🍸: From free drinks and snacks in the office to regular team socials, quizzes, and spontaneous celebrations, we believe fun fuels great teamwork.

  • Work From Abroad ✈️: Want a change of scenery? You can work from anywhere in the world for up to a month each year

  • Hybrid Working 🏠: We work from the office two days a week to stay connected and collaborate face-to-face, with flexibility the rest of the time

Interview Process

  • Stage 1: 20 min video call with a member of the hiring team
  • Stage 2: 60 min live coding task
  • Stage 3: 90 min F2F interview incl. presentation in our London office

Skills of candidates in conversation

Machine Learning
Python
Agentic AI
LLMs (Large Language Models)
Computer Vision
Aneta Blazyczek on cord
Head of People
Active 3 weeks ago
Applied Data Science Partners are no longer hiring for this position.

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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