At a Glance
- Tasks: Lead the development of AI that understands live sports and enhances fan experiences.
- Company: Sky, a leading media and entertainment company innovating in tech and sports.
- Benefits: Enjoy free Sky TV, private healthcare, and a fantastic pension package.
- Other info: Hybrid working model with a vibrant office environment and excellent career growth.
- Why this job: Join a dynamic team shaping the future of sports engagement through AI.
- Qualifications: Expertise in Computer Vision and Deep Learning with leadership experience.
The predicted salary is between 75600 - 92400 £ per year.
Help us teach AI to understand
live
sport. We
believe in better. And we make it
happen. Better
content. Better products. And better
careers. Working
in Tech, Product or Data at Sky is about building the next and the
new. From broadband to broadcast, streaming to mobile, Sky Q to Sky
Glass, we never stand still. We optimise and
innovate. We
turn big ideas into the products, content and services millions of
people
love. And
we do it all right here at
Sky. At
Sky, we're building AI that turns live video and sports data into
real-time insights, personalised experiences and entirely new ways
for fans to engage with sport. We're looking for a Principal ML
Engineer to help lead that
journey. Role/Team
overview : You'll
join a team building AI that understands sport, not another
recommendation engine. Our work turns live video and sports data
into products and experiences used by millions of
fans. What
you'll
do: •
Act as the technical authority for a key area of our Sports AI
platform, setting direction and making the big technical
calls. •
Shape architecture and guide how we build production-ready AI
systems for live video and sports data at
scale. •
Lead complex AI work from idea through to production, staying
hands-on when the technical challenge needs
it. •
Guide and influence senior engineers and data scientists through
technical leadership, mentoring and design
reviews. •
Raise engineering standards across quality, reliability,
scalability and production
readiness. •
Build credibility through deep technical expertise rather than line
management
responsibility. What
you'll
bring: Essential
criteria: •
Deep expertise in Computer Vision, Deep Learning and production
machine learning
systems. •
Experience operating at Lead, Staff or Principal Engineer level,
with a track record of technical ownership and
influence. •
Proven ability to take complex AI systems from concept to scalable,
reliable production
services. •
Strong judgement across model design, system architecture,
engineering trade-offs and low-latency
inference. •
A hands-on approach to solving difficult technical problems and
unblocking teams when it
matters. Desirable
skills and
experience: •
Experience with sports data, video analytics, real-time insight
platforms or a passion for
sport. Benefits and perks There's one thing people can't stop
talking about when it comes to life at Sky: the perks . Here's a
taster: Free Sky TV or NOW
package , including Sky Sports and Sky
Cinema Pension
package with up to 9% employer
contribution Private healthcare with
mental health
support Aviva Digital GP and
dental
insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and
Sky
Protect Sharesave and Tech
schemes A range of Sky VIP
rewards and
experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where
and how we work. The hybrid working expectations for this role are
2 days in the office per
week. Your office
base Osterley Our
Sky Group HQ. Equipped with
state-of-the-art technology and
workspaces, there's plenty of
space to see your big
ideas come to life. Here you'll find 13
subsidised restaurants and cafes. You can re-energise at our gym,
catch the latest films at our cinema, get your car washed and even
get pampered at our beauty salon. Our
Osterley Campus is just a 10-minute walk from Syon Lane train
station, or you can get one of our free shuttle buses from
Osterley, Gunnersbury and
Ealing Broadway
stations. Plus,
there's free onsite parking available for cars, motorbikes and
bicycles. Who we
are We're Sky, a leading media and entertainment company who connect millions
with entertainment, sports, news and arts through innovative
products and services. Working with us means you'll be
bringing the joy of a better experience to more people, every day.
All so we can do better and deliver better for our customers, colleagues and
society. We ' re an equal opportunity employer and value diversity at our company. We're a
Disability Confident Accredited Employer, and welcome and encourage
applications from all
candidates. We
will look to ensure a fair and consistent experience for all and
will make reasonable adjustments to support you where appropriate .
Please flag any adjustments you need as early as you
can.
Principal ml engineer | sports ai & computervision in London employer: Anonymous
Join an innovative engineering company in West London that values creativity and technical expertise, offering a unique opportunity to transition from a DevOps role into broader software engineering. With a focus on complex, real-world systems, you'll be part of a small, highly skilled team where your contributions will have a significant impact. Enjoy a supportive work culture that promotes professional growth, competitive salary, and benefits, all while working in a hybrid environment that fosters flexibility and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Principal ml engineer | sports ai & computervision in London
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We think you need these skills to ace Principal ml engineer | sports ai & computervision in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Anonymous.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Anonymous and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at Anonymous
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Anonymous uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
