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About the Role

We are looking for an experienced MLOps Engineer who enjoys solving complex technical challenges and building the platforms, tooling, and processes that enable machine learning at scale. The Lead MLOps Engineer will design, build, and maintain the infrastructure that supports the full machine learning lifecycle, from feature generation and experimentation through to deployment, monitoring, and continuous improvement. You will play a key role in ensuring our predictive models and data products are reliable, scalable, and deliver measurable business value. This role sits within our new Telematics Data Value team, comprising data scientists, analysts, and engineers. We work to turn our telematics data into underwriting advantage, enabling market-beating prices for customers.

Responsibilities

Provide technical leadership on ML platform architecture, helping shape the tooling, standards, and operating model used to deliver machine learning across the organisation.
Develop and maintain automated workflows for feature engineering, model training, testing, deployment, monitoring, and retraining.
Partner with Data Scientists and Data Engineers, and ML Engineers to operationalise predictive models and data products.
Establish best practices for ML observability, model performance monitoring, CI/CD, versioning, governance, and reproducibility.
Improve the reliability, scalability, and efficiency of our machine learning and data platforms.
Work with cloud-native technologies and infrastructure-as-code to support modern ML workloads.
Present technical solutions and outcomes to engineering, operational, and commercial stakeholders.
Evaluate emerging technologies and contribute to the team's engineering standards and best practices.

Requirements

Strong Python skills and experience building and operating machine learning solutions in cloud environments.
Experience with MLOps tooling and practices, including CI/CD, containerisation, orchestration, model deployment, monitoring, and infrastructure automation.
Experience using SQL and working with large-scale data platforms.
Familiarity with modern cloud platforms such as Azure, AWS, or GCP.
Experience collaborating across teams of Data Scientists, Data Engineers, Software Engineers, Operational and Commercial stakeholders.
Understanding of software engineering best practices including testing, version control, code review, and observability.
Technical excellence complemented by a strong understanding of business outcomes.
A problem-solver who enjoys building robust, scalable solutions to complex real-world challenges.
Able to work independently, seeking support where needed, while collaborating effectively across multidisciplinary teams.
Curious, pragmatic, and willing to challenge existing approaches in pursuit of better outcomes.
Passionate about engineering quality, automation, and continuous improvement.

Skills

Python
MLOps
CI/CD
Containerisation
Orchestration
Model Deployment
Monitoring
Infrastructure Automation
SQL
Cloud Platforms (Azure, AWS, GCP)
Software Engineering Best Practices
Testing
Version Control
Code Review
Observability

Location

Bexhill
Leicester
London

Work Type

Hybrid

Experience Level

Lead

Salary/Compensations

Attractive salary based on experience + car allowance

Benefits

Car allowance
Flexible Working
Competitive Bonus Scheme
Private Medical Insurance
Life assurance cover
Income protection
Pension contribution match up to 10%
Discounts and cashback at everyday retailers and on our own products
Fee free independent mortgage advice
Free access to financial wellbeing support
Thrive mental health app
Colleague assistance programme available 24/7
In-house mental health first aiders
Support groups
27 days annual leave + bank holidays
Option to buy or sell one of your contracted weeks
Access to health care cash back plans
Dental plans
Discounted health assessments
Cycle to work schemes
Tech schemes
Discounted and free onsite facilities
Social events

About the Company

We’re a digital insurance provider with ambitious plans to become the best and biggest in the UK market.
We have made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.
We provide insurance for over four million customers, but we know there’s even bigger opportunity out there – our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.
We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change.
Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.
Pricing is more than just a number – it’s a strategic capability. At the heart of Hastings is deep risk insight – continually improving how we assess, segment and price risk through data and analytics.
Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we’ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.
We deliver good outcomes for our customers every time by providing great products at the right price with our simple and straightforward service. We treat customers like we want to be treated - fairly, respectfully and with their best interests at heart.

Equal Opportunity

Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.
Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
At Hastings Direct, we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.