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- Tasks: Join a team developing cutting-edge AI and machine learning solutions to tackle real-world challenges.
- Company: Secondmind, an innovative tech company focused on data-efficient engineering AI software.
- Benefits: Competitive salary, flexible work options, professional development, and wellness programmes.
- Other info: Inclusive culture with opportunities for growth, innovation, and fun social events.
- Why this job: Make a real impact in AI research while collaborating with diverse teams and experts.
- Qualifications: PhD or equivalent experience in machine learning, statistics, or optimisation; strong collaboration skills.
The predicted salary is between 36000 - 60000 £ per year.
Secondmind is an Equal Opportunity Employer committed to fair, equitable treatment throughout the recruitment process and beyond. We actively champion applications from all backgrounds because we believe the best work happens when people can bring their authentic, original, and best selves to the team.
About Secondmind
Secondmind builds data-efficient engineering AI software that helps teams make better design and performance optimisation decisions faster. Our product reduces simulation and testing requirements without compromising quality, accelerating development and enabling more sustainable practices.
Our positive working culture is founded on a collaborative environment that encourages teamwork and innovation. We foster open communication and cross-functional collaboration, enabling diverse teams to work together to solve complex challenges. Our flexible workplace plan ensures a healthy work-life balance, accommodating various working styles and personal needs, whether through remote work options or adaptable schedules.
We also prioritise personal and professional growth by offering development opportunities, including training and mentorship. This nurturing environment empowers our employees to thrive, continuously learn, and contribute meaningfully to our mission of advancing system design and calibration with our data-efficient machine learning solutions.
Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind was recently recognised with the Automotive Testing Technology International 'Alternative Powertrain Test Innovation of the Year Award 2024'; selected for the Tech Nation Future Fifty scale-up program, and named by Bloomberg as one of the UK's 25 Startups to Watch 2024.
About the role
This is an exciting opportunity to join a team at the forefront of artificial intelligence and machine learning. Secondmind Labs consists of researchers that explore innovative ideas that can improve the state of the art in probabilistic modelling, active learning and related fields, and tackle real-world challenging problems.
We work in highly collaborative research teams, developing algorithms that are theoretically rigorous, yet scalable to domains of real-world complexity, with the aim of solving our customers' challenges, as well as publishing papers at leading machine learning conferences. In the past four years our team has published over 75 papers and filed 10 patents.
Key responsibilities
- Develop your own research program, with a view to developing new tools and techniques for probabilistic models, Bayesian optimisation and related fields.
- Engage in team collaborations to meet research goals and report your research findings both internally and externally.
- Contribute to internal product development and customer research projects, assisting in the application of cutting-edge machine learning research to real world problems.
- The opportunity to take an active role in the development of our open source libraries (for example, Trieste, GPflow and GPflux).
What skills, experience, and qualifications do you need to succeed in this role?
From fresh PhD graduates to experienced team leads, we are open to applicants at all levels. What we primarily look for is a good fit with the team, a researcher that we can easily see collaborating with and that will enrich our collective knowledge.
Essential skills and experience:
- A PhD in a technical field or an equivalent level of experience, having published work in machine learning, statistics, or optimisation conferences and/or journals.
In addition, the following would be an advantage:
- A background in decision making (Bayesian optimisation, bandits, reinforcement learning, active learning) and/or probabilistic modelling and methods (Gaussian processes, Bayesian neural networks, Variational inference, etc).
- Experience in numerical programming (Python/NumPy/Tensorflow/PyTorch).
- Experience or interest in applying machine learning to solve real world problems in projects which could relate to Secondmind's customers.
- Keen to work as part of a team, to review documents and code, and to provide constructive feedback.
- A passion to continuously develop your own machine learning and research skills, and to help others to improve theirs.
Our culture - What we can offer you
We offer a working environment that is inclusive, stimulates innovation and continuous learning, and that thrives on growth and change. Our culture is underpinned by our values; they are what we stand for, part of our DNA. They help us to attract and retain the right talent and customers, help us make the right decisions and clarify how we should all behave and treat one another:
- Delight every customer (Customers)
- No bar too high (Excellence)
- Give more than take (Sustainability)
- Make the impossible, possible (Innovation)
- Celebrate differences, act as one (Inclusion)
We also offer a number of benefits including:
- Competitive salary - reviewed annually
- 25 days annual leave, plus statutory bank holidays
- TGIF: The last Friday of every month is a half day for our employees
- Enhanced family leave policies
- Salary Sacrifice Pension Scheme
- Life Assurance of 4x salary
- Private Medical Insurance
- Eyecare Policy
- Dental Cash Plan
- Stock Options (where applicable)
- Free 24 hour access on-site gym
- Discount Shopping & Wellbeing Platform
- Employee Assistance Programme
- Values Award Scheme
- Cambridge Botanic Garden membership
- Social events, game nights and sports groups
We are an equal opportunities employer, and aim to ensure all candidates are treated equally and fairly through the application process and beyond. We actively encourage applicants from under-represented backgrounds, and encourage our people to bring their authentic, original, and best selves to work.
Machine Learning Researcher in Norfolk employer: Secondmind
Contact Detail:
Secondmind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher in Norfolk
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with researchers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, papers, and any open-source contributions. This gives potential employers a taste of what you can bring to the table, especially in machine learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your research and how it applies to real-world challenges, as this is key for roles like a Machine Learning Researcher.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Secondmind.
We think you need these skills to ace Machine Learning Researcher in Norfolk
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Machine Learning Researcher role. Highlight your relevant experience and skills that align with Secondmind's focus on probabilistic modelling and machine learning.
Showcase Your Research: Don’t forget to include any published work or projects you've been involved in. This is your chance to shine, so share how your research can contribute to Secondmind’s mission and innovative environment.
Be Authentic: Secondmind values authenticity, so let your personality come through in your application. Share your passion for machine learning and how you see yourself fitting into their collaborative culture.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves, and you’ll find all the details you need there!
How to prepare for a job interview at Secondmind
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around probabilistic modelling and Bayesian optimisation. Be ready to discuss your past research and how it relates to the role at Secondmind. They love candidates who can connect their work to real-world applications.
✨Show Your Collaborative Spirit
Secondmind values teamwork, so be prepared to share examples of how you've worked in collaborative environments. Highlight any experiences where you contributed to team projects or helped others improve their skills. This will show that you're a good fit for their culture.
✨Ask Smart Questions
Prepare thoughtful questions about Secondmind's projects, their approach to innovation, and how they support personal growth. This not only shows your interest in the company but also gives you insight into whether it's the right place for you.
✨Be Authentic
Secondmind champions authenticity, so don’t be afraid to let your personality shine through. Share your passion for machine learning and how you envision contributing to their mission. Being genuine can set you apart from other candidates.