Machine Learning Engineer

About Us

We’re an award-winning innovative tech consultancy - a team of creative problem solvers. Since 1993 we’ve been finding better, more sustainable ways to solve complex technology problems for some of the world’s leading organisations and delivered solutions that millions of people use every day.

In the last 30 years we won several awards, including a prestigious Queen’s Award for Enterprise in the Innovation category for our Enterprise Agile delivery approach.

Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery.

We want to continue to grow our team with people just like you!

About the Role

As a Machine Learning Engineer at BJSS, you’ll collaborate with some of the brightest and best in the industry as part of multi-disciplinary teams. You’ll work in a fast moving, agile environment and will be involved in implementing machine learning algorithms, building production Machine Learning systems and developing MLOps processes.

You’ll help deliver some of the most exciting digital programmes around for clients in a range of industries by:

• Applying cross-disciplinary thinking
• Building a deep understanding of business domain and user needs and making sure that the actual business value is unlocked as early as possible
• Thinking holistically and treating data as a business service

About You

You should apply if you have:

• Proven Machine Learning Expertise: Hands-on experience in developing and deploying Machine Learning models in production environments. Solid grasp of common Machine Learning algorithms and their application
• Software Engineering Skills: Proficiency in Python, with a focus on writing testable, modular code. Strong understanding of data structures, data modeling, and software architecture
• Data Science Library Knowledge: Deep understanding of key Data Science and Machine Learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow), with a preference for PySpark experience
• Model Productionisation: Experience in taking Machine Learning models from development to production
• CI/CD and MLOps Experience: Familiarity with Continuous Integration and Continuous Deployment pipelines, especially in a Machine Learning or DevOps context
• Cloud Platforms: Experience building solutions using major cloud services (Azure, AWS, GCP)
• Analytical thinking: Exceptional problem-solving abilities backed by analytical rigor
• Proven experience in participating in Business Development etc

Some of the Perks

• Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more)
• Industry leading health and wellbeing plan - we partner with several wellbeing support functions to cater to each individual’s need, including 24/7 GP services, mental health support, and other
• Life Assurance (4 x annual salary)
• 25 days annual leave plus bank holidays
• Hybrid working - Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH
• Discounts – we have preferred rates from dozens of retail, lifestyle, and utility brands
• An industry-leading referral scheme with no limits on the number of referrals
• Flexible holiday buy/sell option
• Electric vehicle scheme
• Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly
• Giving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into tech
• You will become part of a squad with people from different areas within the business who will help you grow at BJSS
• We have a busy social calendar that you can choose to join– quarterly town halls/squad nights out/weekends away with families included/office get togethers
• GymFlex gym membership programme