Machine Learning Engineer jobs in United Kingdom

Location: Bristol, with travel to client sites

Contract: Full time

Please be aware that all offers of employment will be subject to a UK Security Clearance check. To gain this you ordinarily need at least 6 years’ UK residency.

Decision Analysis Services (DAS) is an independent professional services company. Since 2007 we have provided services globally to more than 200 client organisations within the energy, defence, government, transport, and health sectors. Based in offices from Glasgow to Sydney, we support clients across five continents.

We specialise in bridging the gap between strategic planning and operational execution, developing enduring solutions to the uniquely complex issues faced by our clients. We are experts in programme management, systems thinking, investment modelling, machine learning, and data analysis. These unique skills, coupled with our extensive experience of engineering, regulatory practices and operations delivery enable us to develop sustainable, long-term solutions for our clients.

As a Senior Consultant, Data Science, you\'ll lead data-driven solutions, mentor a growing team, and collaborate to deliver impactful results. Your key responsibilities will include:

• Apply Data Science Expertise: Use advanced statistical and machine learning techniques to analyse large datasets, derive actionable insights, and develop predictive models for our clients. This includes tasks such as data preprocessing, feature engineering, model selection, and evaluation.
• Provide Leadership & Mentorship: Offer guidance and mentorship to junior team members, ensuring they grow professionally and stay up to date with the latest trends in data science and technology. You\'ll also contribute to fostering an innovative mindset within the team.
• Communicate Insights Clearly: Present complex findings and insights in a clear, actionable format for stakeholders through effective data visualisations and reports, using tools like Power BI or custom-built dashboards.
• Collaborate Across Teams: Build strong relationships with both internal teams and clients, working closely with multidisciplinary groups to ensure solutions align with client needs and deliver high impact.

Apply to DAS if you want to work on varied, complex projects within a business that values your development, where no two days are alike, and where you’ll have a tangible impact on critical infrastructure in the UK.

To succeed in this role, you should have a proven ability in developing machine learning models, and bring a combination of technical expertise, leadership skills, and the ability to collaborate effectively across teams. We’re looking for someone with the following qualifications and experience:

• Educational Background: Degree in a quantitative discipline (statistics, data science, computer science, engineering, mathematics, physics, or economics).
• Machine Learning & Data Science: Proven experience in developing and deploying machine learning models, with a solid understanding of analytical techniques for extracting insights from large datasets.
• Programming Skills: Proficiency in at least one programming language such as Python, R, Java, or C++.
• Data Visualisation: Experience with tools like Power BI or custom-built dashboards to present complex data effectively.
• Agile Knowledge: Familiarity with Agile methodologies and frameworks, and experience in working in Agile environments.
• Stakeholder Engagement: Demonstrable ability to build and leverage relationships across a wide range of stakeholder groups, including product, data, analytics, and business strategy teams, and across a range of industries.
• Leadership: Ability to lead projects independently, managing priorities and delivering results in a collaborative environment.

Don’t meet all the job requirements, but like the sound of us and the projects we work on? Get in touch anyway – we are always keen to hear from talented, solutions-led individuals at all career stages and might have the perfect role for you.

In return for your skills and experience, we offer a genuinely people focused culture. DAS is dedicated to offering more than just a job. We\'re committed to cultivating your professional development and success. Employee wellbeing is at the forefront of our thinking. We actively support a healthy work-life balance, enabling you to prioritise the things that matter to you.

• Competitive salary dependent on skills and experience
• Private pension, private healthcare for you and your immediate family, and private dentalcare
• Death-in-service and income protection schemes
• 25 days holiday plus UK bank holidays, and additional days to work on environmental and community activities
• Discretionary office closure over Christmas
• Personal carbon offset through company scheme
• Access to professional and personal development platform, Udemy

DAS is an Equal Opportunities employer. We support the principle of Equality and Diversity in employment wholeheartedly and oppose all forms of unlawful or unfair discrimination. We commit to providing equality, fairness, and respect for all in our employment, and all those seeking employment at DAS.