Junior ML engineer

In this role you will work in the Customer Success team, within the Technical Operations function responsible for the ongoing monitoring and technical support of projects and deployment of the OneView solution and OneView platform.

As a Junior ML Engineer, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi‑source datasets from local authorities. You’ll work closely with our Customer Success team, Technical Operations colleagues and internal teams to deliver data engineering, data science, platform configuration, and data visualisation. You’ll own technical components of deployments, delivering high‑quality work on time and solving problems independently while helping optimise how we work to scale.

Key Responsibilities

• Technical delivery
  • Machine learning engineering – Demonstrate previous experience and capability to optimise predictive models using advanced architectures such as gradient‑boosted trees, temporal models and embedding‑based models.
  • Data science – Configure existing predictive models to meet the client’s needs, apply descriptive analytics techniques to extract meaningful insight from client data, build simple proxy predictive models to demonstrate value early on.
  • Cohort building – Build preventative cohorts, test and adapt these with the client to optimise accuracy & efficacy.
  • Dashboards – Design, build and adapt dashboards to meet the client’s needs and tell them what they need to know in a clear, intuitive way.
  • Platform evolution – Feed innovations back into the core platform.
• Technical project work
  • Own and deliver the technical components of deployments. Prioritise effectively, flag and resolve blockers early, and collaborate well across teams.
• Problem solving and storytelling
  • Use your analytical skills to extract meaningful insights from data. Translate complex analysis into clear, actionable recommendations for clients.
• Communication and stakeholder support
  • Support client upskilling by sharing knowledge and documentation.
• Collaboration
  • Work closely with Customer Success colleagues to deliver successful solutions and measure the impact. Identify opportunities to improve how we deliver as a team and share best practices.

What are we looking for?

We’d love to hear from you if you have:

• A degree in a quantitative or technical field such as Machine Learning, Data Science, Computer Science, Maths, Engineering, etc.
• Previous experience in data and analytics, including exposure to data engineering, data science and data visualisation.
• Proficiency in Python and/or SQL for data wrangling and analysis.
• Previous data science knowledge, with experience in machine learning techniques.
• Experience with relational databases (e.g., SQL Server or Oracle).
• Familiarity with tools like Power BI or Tableau to build clear, insightful dashboards.
• Experience writing clean, testable, traceable code using good QA practices.
• Experience delivering technical work with strong attention to detail and ability to manage your own deadlines.
• Strong analytical and problem‑solving skills, with experience in techniques such as regression, correlation analysis, or EDA.
• Clear communication skills, both written and verbal, able to explain technical work to non‑technical audiences.
• A continuous improvement mindset, looking for opportunities to improve tools, documentation, or ways of working.
• A passion for social impact – you’re excited about what we’re doing and driven to help Xantura succeed.

Bonus Points

• Experience working with the public sector (local or central government) or as a vendor/consultant to public sector clients.
• Familiarity with privacy, security, and information governance in data projects.
• Familiarity with cloud tools and services such as Azure Data Factory, Azure ML or AWS equivalents.

Location – This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1–2 days per week. Some travel is also required for on‑site client engagements as needed.

What can we offer you?

• Competitive salary reviewed annually.
• Work for a passionate, mission‑driven company solving society’s big problems.
• Work flexible hours around life commitments with a focus on delivering company value rather than hours worked.
• Ability to work remotely (excluding face‑to‑face team meetings and client meetings).
• Training and development opportunities.
• 25 days annual leave (plus bank holidays).
• Company pension.
• Private medical insurance.
• Generous enhanced parental leave policies.
• Cycle to work scheme.
• Flu vaccinations.
• Eye test and contribution towards glasses for VDU use.

Employee Assistance Programme

• Mental health and wellbeing support.
• Remote GP access.
• Counselling / therapy.
• Physiotherapy.
• Medical second opinions.