DevOps Engineer

Synoptix
Broomhill, City Of Bristol, Bristol (county), BS4 4SE, United Kingdom
Last month
£40,000 – £50,000 pa
Applications closed

Related Jobs

View all jobs

Infrastructure Engineer

Synthesia London, United Kingdom
Remote

Devops Systems Engineer

Matchtech Wiltshire, United Kingdom

Full Stack Software Engineer

83zero Lime Street, City And County Of the City Of London, United Kingdom
£100,000 – £130,000 pa Hybrid

GRC Analyst

Synthesia London, United Kingdom
Remote

Data Engineer

Experis Bath, Somerset, TA7 8PH, United Kingdom
£500 – £550 pd

Solution Engineer

Snowflake London, United Kingdom
Permanent

Salary

£40,000 – £50,000 pa

Posted
2 Apr 2026 (Last month)

DevOps/Infrastructure Engineer

The Role:

This is a crucial role in ensuring the network infrastructure is optimised for performance and resilience, and mentoring support staff in network infrastructure best practice. The role combines hands-on support of the product pipeline whilst contributing to the improvement of key systems.

Essential Skills:

Knowledge of DevOps practices including:

CI/CD pipeline design and automation

Containerisation and orchestration

Monitoring and observability tools

Experience in the defence or advanced technology sector

Experience with GPU based computer environments

Experience with MLOps and associated tooling

Experience with data pipelines

Experience with Infrastructure as Code

Experience with security integration in DevOps i.e. DevSecOps

Service-oriented with effective communication skills

Ability to prioritize workload under minimal supervision

Undergraduate degree or equivalent working experience

Essential Tools:

Ubuntu and Red Hat Linux

Windows 365 environment

Gitlab, Gitlab CI

Docker, Kubernetes

Desirable Tools:

Alpine Linux

Terraform, Ansible

Additional tools as required

Benefits:

Annual Company Bonus – Based on company performance

25 Days holiday not including bank holidays with the option to buy/sell up to 5 days

Flexible hybrid working arrangements

Continuous professional development including incentives

Access to online Udemy training facility to support grade specific learning pathways

Electric car scheme

Bike to work scheme

Private health care (BUPA)

Job well done scheme

Employer assistance scheme

About Us:

Synoptix was formed in 2011 to provide engineering solutions across various technical industries. We have evolved from a company established and focussed on Systems Thinking principles into an Engineering company providing solutions and services across three key capabilities: Systems, Cyber & InfoSec and Technology. What makes us stand out is how we engage in the crossover areas between these disciplines, combining our strengths to provide a truly bespoke, market leading approach. Our engineering competence is bolstered by expertise in commercial, legal, financial and resource, thereby ensuring that we uphold excellence in our product and service offerings.

Please note that due to the nature of our projects we can only accept Sole UK National candidates who will need to be eligible to obtain UK Security Clearance.

By applying to this position, you are confirming that you consent to the retention of your personal data. Your data is held securely on our own premises and under the terms of the Data Protection Act (2018). It will be treated as confidential, and will not be transferred to any third party, or to any other jurisdiction without your consent. We will not hold any data for any longer than is necessary for us to fulfil our obligations and will remove any data at your written request

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.