Machine learning engineer Work, Jobs in Edinburgh, Sct (with Salaries)

Junior Software Engineer
Opus 2 —Edinburgh
- £35,000 - £40,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- AWS
- Employee assistance programme
Quick apply
AI Engineer (Infrastructure SRE & Automation)
Sky —Livingston
- Full-time
- Hybrid work
- AI
- Restaurant
- Python
- Free parking
- Employee discount
Data Engineer - Compliance Engineering
Lloyds Banking Group —Edinburgh
- £36,224 - £38,130 a year
- Full-time
- Hybrid work
- Azure
- Maintenance
- SQL
2d
Principal Software Engineer
ClearSky Logic —Edinburgh
- Up to £68,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Travel
- Sick pay
Quick apply
Network Engineer
OpticNet Digital Infrastructure Ltd —Edinburgh
- £61,711 - £78,550 a year
- Full-time
- Azure
- English
- AWS
Quick apply
9d
Faculties Development Manager
The Royal College of Surgeons of Edinburgh —Edinburgh
- £35,690 - £44,631 a year
- Call to connect
- AI
- Café
- Annual leave
Quick apply
12d
Risk & Control Associate II
Patria Investments —Edinburgh
- Microsoft Powerpoint
- Spanish
- Microsoft Excel
Software Engineer – Full Stack
Edinburgh Airport —Edinburgh
- £54,000 a year
- Full-time
- SQL
- JavaScript
- APIs
- Free parking
- Employee assistance programme
Solutions Engineer
Kinetic Union 74 Technologies Ltd —Edinburgh
- £56,265 - £60,000 a year
- Full-time
- Azure
- SQL
- AWS
Quick apply
9d
Associate/Vice President, AI Infrastructure Engineer
BlackRock Investments —Edinburgh
- Hybrid work
- Azure
- AWS
- Machine learning
- Work from home
KTP Associate Agentic AI Security and Privacy Research Engineer
University of Edinburgh —Edinburgh
- Full-time
- English
- University
- APIs
- Annual leave
- Employee discount
Data Scientist
Leonardo UK Ltd —Edinburgh
- £53,000 - £65,000 a year
- Full-time
- Hybrid work
- Data analysis skills
- SQL
- Machine learning
- Flexible schedule
- Referral programme
4d
Software Engineer, AI
National Westminster Bank PLC —Edinburgh
- £46,113 - £65,100 a year
- Full-time
- Hybrid work
- DevOps
- Java
- Hotel
- Annual leave
AI LLM Technology Architecture Associate Manager
Accenture —Edinburgh
- Full-time
- Azure
- Master's degree
- AWS
Reader in Quantum Computing
University of Edinburgh —Edinburgh
- Full-time
- Hybrid work
- Doctoral degree
- English
- University
- Annual leave
- Employee discount
5d
DevOps Engineer, Associate
BlackRock Investments —Edinburgh
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Work from home
Software Development Engineer
Adobe —Edinburgh
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Employee assistance programme
Vice President, Reconciliations/Investigations
BlackRock Investments —Edinburgh
- Hybrid work
- Bachelor's degree
- Continuous improvement
- No degree
- Work from home
3d
Cloud Intelligence Business Development Manager - EMEA, AWS Cloud Intelligence
AWS EMEA SARL (UK Branch) —Edinburgh
- Full-time
- Sales
- AWS
- Bachelor's degree
Product Manager Schools
British Council —Edinburgh
- £38,000 - £46,000 a year
- Full-time
- Hybrid work
- Marketing
- English
- Project management

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Junior Software Engineer

Opus 2 -
Edinburgh

Quick apply

Job details

Full-time
£35,000 - £40,000 a year

Benefits

Cycle to work scheme
Company pension
Company events
Employee assistance programme
Paid volunteer time

Qualifications

Elasticsearch
Go
Computer Science
Kubernetes
Git
MongoDB
Java
PHP
AWS
PostgreSQL
APIs
TypeScript
Python

Full job description

The first few years of your engineering career shape how you think for the rest of it. We want juniors who are curious, who pick things up fast, and who take that early learning seriously. You'll join a squad working on real production code from day one, with senior engineers around you whose job includes growing you. AI is reshaping how all of us write software, and you'll learn that on the job, alongside the fundamentals.

This is an IC role with a clear path forward, and we invest in that path.

What you'll do

Build foundational skills on real production work. Well-defined tasks with senior engineers supervising. The work is small in scope but real, and your code ships and serves customers.
Learn the craft deliberately. Code review feedback, pairing, documentation, tests. These are the fundamentals that compound, and we protect time for them.
Use the tools well. Source control, your dev environment, CI, observability, and AI tooling, which we treat as part of the workflow. Try things and bring back what you find.
Communicate clearly. Tell your team what you're working on, why, how it's going, and where you're stuck. Asking for help is part of the job.
Improve the docs. Whenever something tripped you up, write the explanation that would have helped. The codebase improves, and so do you.

The shape we're hiring for

For juniors, we hire for shape more than experience.

Curiosity. You're interested in how systems work, why decisions were made, and what you don't yet understand.
Learning velocity. You pick things up fast from pairing, code review, docs, AI tools, and conversations. You don't wait for someone to teach you.
Emerging ownership. You complete what you start, ask when stuck, and take responsibility for your share of the work.
Clear communication. You say what's going well, what isn't, and what you need.
Change disposition. You enjoy that the work is changing fast. That's part of the appeal.

You'll be a strong fit if

You're at the start of your career: an internship, bootcamp, computer science degree, self-taught with a portfolio, or early in your first role.
You can write code in at least one mainstream language (Python, TypeScript, Java, Go). Not yet expertly, but clearly enough to do the job.
You've used Git, written tests, and shipped something: a personal project, course work, or an internship.
You're comfortable using AI tooling in your workflow, and you treat it as a way to learn faster rather than a shortcut to think less.
You enjoy explaining what you've learned, even imperfectly, because that's how it sticks.

You might be a less good fit if

You're looking for a place that hands you fully-specified tasks and expects nothing else.
You'd rather not have feedback on your work, or you find pair programming uncomfortable on principle.
You'd prefer to work alone with code and not interact much with people.
You'd rather not use AI tooling, or you treat it as a workaround for learning the fundamentals rather than a way to learn them faster.
You're looking for a fast track to management. This role is about technical growth.

Requirements

How we work

Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi-tenant SaaS platform with API-first surfaces, where security, privacy, and compliance are first-class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance.

Strong ownership. Squads own their products end-to-end, from the customer outcome through to operating them in production.
Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision.
A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team.
Coaching as part of seniority. Senior engineers help juniors, mid-levels, and each other grow. We protect that time on calendars.

A work in progress

Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped.

If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it.

Tech you'll work with

We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform, and we'll keep them well-tended where it makes sense. If you light up about Python or Go, you're in the right place.

Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services)
Frontend: React
Deployment: Kubernetes primary; serverless where it's the better fit
Cloud: AWS
Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores
AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way

You don't need to know any of these on day one. You should be ready to learn the ones you don't.

Benefits

Working for Opus 2

A real engineering role at a growing company where AI is in production and shapes how software gets built. Not a junior slot doing make-work.
Investment in your growth: protected coaching time on senior engineers' calendars, code review that grows you, and exposure to challenging problems matched to your level.
A clear path forward, with someone whose job it is to help you get there.
Contributory pension plan.
33 days annual holidays, flexible working, and length of service entitlement.
Health Insurance.
Loyalty Share Scheme.
Enhanced Maternity and Paternity.
Employee Assistance Programme.
Electric Vehicle Salary Sacrifice.
Cycle to Work Scheme.
Calm and Mindfulness sessions.
A day of leave to volunteer for charity or dependent day.
Regular Company Social Events.
Yearly Development Retreat.

Quick apply

Refine Your Search

machine learning engineer jobs in edinburgh, sct

Junior Software Engineer

AI Engineer (Infrastructure SRE & Automation)

Data Engineer - Compliance Engineering

Principal Software Engineer

Network Engineer

Faculties Development Manager

Risk & Control Associate II

Software Engineer – Full Stack

Solutions Engineer

Associate/Vice President, AI Infrastructure Engineer

KTP Associate Agentic AI Security and Privacy Research Engineer

Data Scientist

Software Engineer, AI

AI LLM Technology Architecture Associate Manager

Reader in Quantum Computing

DevOps Engineer, Associate

Software Development Engineer

Vice President, Reconciliations/Investigations

Cloud Intelligence Business Development Manager - EMEA, AWS Cloud Intelligence

Product Manager Schools

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