PMO/Portfolio Data Analyst

CV-Library
Bristol, Bristol (County)
12 months ago
Applications closed

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Portfolio Reporting Lead - Up to £600/day (Umbrella) - Hybrid (3 Days Onsite - Bristol)

We're looking for an experienced Portfolio Reporting Lead to join a fast-moving technology transformation programme on a contract basis, offering up to £600/day (via umbrella). This is a hybrid role, with 3 days a week onsite in Bristol.

Key Responsibilities:

Lead reporting and dashboarding across portfolio, product, and project delivery

Own and evolve portfolio reporting tooling and automation (including future-ready, AI-driven solutions)

Collaborate with finance, HR, product and business teams to ensure integrated, insight-driven reporting

Manage and enhance a central KPI dashboard (Power BI)

Support senior stakeholders with business storytelling and executive presentations (PowerPoint)

About You:

Strong Power BI and reporting experience

Proven experience in Agile, product-led environments

Commercial mindset with strong financial and strategic understanding

Comfortable operating at senior stakeholder level

Skilled in portfolio/product tooling and change-driven environments

Confident building and embedding reporting processes at scale

This is a great opportunity for someone who thrives in fast-paced, evolving environments and enjoys making data meaningful at the strategic level.

Location: Bristol (3 days/week onsite)
Rate: Up to £600/day (Umbrella)
Start: ASAP
Length: Initial 6 months

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Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened 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 machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning 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 Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.