MLOps Engineer

Excited to grow your career?

Our purpose is to empower people to save and invest with confidence. We are looking for great people to join us, so please come and invest in YOUR future at HL.

We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We'd love to hear from you!

About the role

Hargreaves Lansdown (HL) are now recruiting for an MLOps Engineer to join the team. This role is instrumental in enabling HL to harness the full potential of Artificial Intelligence and Machine Learning allowing us to drive significant value to our clients as well as ensuring that our data scientists can rapidly develop, deploy, and manage models at scale with reliability and efficiency.

By streamlining the ML lifecycle, from experimentation to production, you will facilitate seamless collaboration between data scientists, developers, and IT operations, fostering an environment of innovation and driving significant value through intelligent, data-driven decisions. Through robust, scalable MLOps practices, this role supports HL's vision of becoming a leader in AI-driven solutions, optimising operations, enhancing customer experiences, and unlocking new opportunities for growth and competitive advantage.

This is an excellent opportunity for you to be the driver of a new product within HL where you'll have the opportunity to build the roadmap and take ownership of how we leverage AI/ML at HL.

What you'll be doing

• You will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive support to ensure seamless integration into production environments
• Taking ownership of our MLOps platform, spearheading its development, optimisation, and growth
• Driving the implementation of CI/CD (continuous integration and continuous delivery/deployment) pipelines to streamline the development, testing, and deployment processes, ensuring rapid and reliable delivery of machine learning solutions
• Manage and optimise the infrastructure supporting our machine learning workloads, leveraging the latest technologies to ensure scalability, reliability, and performance
• Champion best practices for writing production-quality code and implementing robust machine learning frameworks, maintaining the highest standards of quality and efficiency
• Implement and enforce rigorous security measures and ensure compliance with industry regulations, safeguarding our platform and data against potential threats
• API Development and Deployment
• Collaborating with Data Science and Engineering Teams to drive innovation and excellence

About you

• Ability to Design and implement MLOps pipelines on AWS
• Experience with MLOps Frameworks, mainly SageMaker and MLFlow
• Strong programming experience in production environments (Python)
• Strong infrastructure knowledge (Terraform)
• Experience with DevOps tools (Docker, Kubernetes)
• Experience with integrating with data warehouses (Snowflake) and activation channels (Adobe, Salesforce)
• Effective interpersonal skills to engage and collaborate with multiple internal and external stakeholders.

Interview process

The interview process for this role will be 2 stages plus a task.

Working Schedule

This role is based in Bristol head office, BS1 5HL. This role is permanent, full time, 37.5 hours per week, Monday to Friday. We have returned to the office, however for this role we offer a hybrid flexible working pattern to enable you the option of working from home and coming into the office.

Why us?

Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more than 40 years we've helped investors save time, tax and money on their investments.

To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do.

What's on offer?

• Discretionary annual bonus* & annual pay review
• 25 days* holiday plus bank holidays and 1-day additional Christmas closure time
• Option to purchase an additional 5 days holiday per year at annual enrolment
• Flexible working options available, including hybrid working
• Enhanced parental leave
• Pension scheme up to 11% employer contribution
• Sharesave scheme - have a real stake in HL's future
• Income Protection & Life insurance (4 x salary core level of cover)
• Private medical insurance*
• Health care cash plans - including optical, dental, and out patientcare
• Help@hand and an Employee Assistance Programme
• Gympass - gym memberships and wellbeing apps available
• Variety of travel to work schemes with free bike storage and shower facilities
• An inhouse barista serving subsidised coffee and snacks
• Join HL's sports, I&D networks and volunteering groups (two paid volunteering days per year)
• LifeWorks Discounts on services, restaurants and retailers

* dependant on role level

Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age.

This role may also be available on a flexible working or part time basis - please ask the Recruitment & Onboarding team for more information.

Please note, we are unable to provide employment sponsorship to candidates.