Partners Group
Machine Learning Engineering Specialist
Job Description
Why this job matters
At BT, we know there is untapped potential/value in the vast amount of data available to us. It is fair to say that we’ve some of the richest and most exciting data in the UK about customers, products and services, network operations, processes and the list goes on. As we look to unleash the power of data for reactive and proactive insights and interventions, we are looking for astute and collaborative people that will help us in this journey safely and radically.
We are looking for applied data scientists that can deliver end-to-end Gen AI / ML solutions to production to optimise network operations and solve business problems by leveraging the power of data & AI. You’ll also have ample opportunities to collaborate with AI COE, Applied Research and Business units to take your solution from initiation to live so they can generate real value.
The Digital unit has big growth ambitions centred on building personal, simple and brilliant propositions that are underpinned by data and AI. We can offer you myriad of opportunities to learn and develop, experience a range of careers and expand your network.
What you’ll be doing
- Develop production grade AI/DS solution for humungous and complex tabular, semi-structured, textual, image & video data using latest techniques & tools on Cloud platforms.
- Work across all phases of AI life cycle – scoping, analysis, modelling, PoC & productionisation in AWS/GCP/Azure as well as post production support.
- Adhere to relevant frameworks and regulations to ensure safe development of AI/DS applications.
- Mentor other AI and DS specialists.
- Create storyboards and deliver presentations to senior management/stakeholders
- Collaborate with business teams in a meaningful manner & ensure timely delivery of your solution.
What we are looking for from you…
- Graduate and/or postgraduate degree in a relevant discipline (e.g. Maths, Statistics, ML, AI, Computer Science but not exclusively) or equivalent experience.
- Applied data science skills – Skilled in applying advanced statistical techniques and linear/non-linear methods to infer patterns from real world data and doesn’t merely rely on packages as a black box to do machine learning.
- Way beyond toy datasets – Developed models with millions of records and taken pride in seeing your solution in production
- Atleast 4years of extensive hands-on experience & deep interest in applying AI & DS approaches (e.g. LAMs, LLMs, clustering, regression, web or app analytics), developing and shaping AI algorithms and models across different streams of AI (e.g. Gen AI, reinforcement learning, deep learning) in commercial settings to meet customer needs.
- Proven ability to write well-engineered production grade codes (e.g. Python, SQL, Java)
- Expertise in DS/AI platforms and tools (such as AWS Sagemaker, Google Vertex AI or Azure ML Studio, PyTorch, Tensorflow, Keras, Sci-kit Learn, Data Studio, Looker and Qlik etc).
- Knowhow of ML/LLM Ops, implementing and maintaining CI/CD pipelines using terraforms etc.
- Ability to develop front end will also be preferred.
- Excellent communication – ability to listen and articulate ideas to a range of global audiences, describe requirements with various teams to get things done and comprehensively present designs/solutions.
- Comfortable in working in collaborative and multitasking work environment – across multiple projects with colleagues and stakeholders at various levels, with little or no supervision and a win-win attitude
- Flexibility and agility – in learning and applying new skills in a short span of time.
Our leadership standards
Looking in:
Leading inclusively and Safely
I inspire and build trust through self-awareness, honesty and integrity.
Owning outcomes
I take the right decisions that benefit the broader organisation.
Looking out:
Delivering for the customer
I execute brilliantly on clear priorities that add value to our customers and the wider business.
Commercially savvy
I demonstrate strong commercial focus, bringing an external perspective to decision-making.
Looking to the future:
Growth mindset
I experiment and identify opportunities for growth for both myself and the organisation.
Building for the future
I build diverse future-ready teams where all individuals can be at their best.
About us
BT is part of BT Group, along with EE, Openreach, and Plusnet.
Millions of people rely on us every day to help them live their lives, power their businesses, and keep their public services running. We connect friends to family, clients to colleagues, people to possibilities. We keep the wheels of business spinning, and the emergency services responding.
We value diversity and celebrate difference. ‘We embed diversity and inclusion into everything that we do. It’s fundamental to our purpose: we connect for good.’
We all stick to the same values: Personal, Simple, and Brilliant. From day one, you’ll get stuck in to tough challenges, pitch in with ideas, make things happen. But you won’t be alone: we’ll be there with help and support, learning and development.
This is your chance to make a real difference to the world: to be part of the digital transformation of countless lives and businesses. Grab it.
A FEW POINTS TO NOTE:
Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.
DON’T MEET EVERY SINGLE REQUIREMENT?
Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We’re committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you’re excited about this role but your past experience doesn’t align perfectly with every requirement on the Job Description, please apply anyway – you may just be the right candidate for this or other roles in our wider team.