Programme Manager

Socium Recruitment
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Data Manager

Chef Manager

General Manager

Digital Transformation Manager

▷ 15h Left! IT Environments Manager

Data Architect / Data Workstream Lead

Program Manager


Passion for Process?

Mange Multiple Work Streams?

Like to get stuff done?


Our dynamic SaaS company, headquartered in Manchester, is embarking on an exciting journey. We’re focusing on enhancing legacy code, building greenfield tools, and migrating data from on-premises to Azure using machine learning techniques.


Why You’ll Love It Here:


  • Innovative Environment:Imagine leading the enhancement of legacy code, building greenfield tools, and migrating data from on-premises to Azure using cutting-edge machine learning techniques. You’ll be at the forefront of this exciting journey.
  • Remote Work:Based in Manchester, we offer remote work options. No need to relocate; just bring your passion and expertise.
  • Programme Manager Role:Join us as a Programme Manager. Your expertise will be pivotal in driving our success.


What you will be doing:


  • Multiple Project Management:Oversee and manage multiple projects simultaneously, ensuring timely delivery and alignment with business goals.
  • Improving and Owning Delivery Processes:Continuously enhance and take ownership of delivery processes to ensure efficiency and effectiveness.
  • Enabling Business Change:Facilitate and drive business change initiatives, ensuring smooth transitions and successful outcomes.
  • Product Environment Experience:Leverage your experience in a product environment to guide and influence project direction.
  • Conduit Between Business and Technical Teams:Act as the bridge between business and technical teams, ensuring clear communication and understanding.
  • Stakeholder Management:Manage and engage stakeholders effectively, keeping them informed and accountable.
  • Autonomy & Growth:Think independently, own challenges, and collaborate when needed. We’re all about personal and professional growth.

What We’re Looking For:


  • Experience:in the areas above, don’t worry don’t need to be an expert in all
  • Curiosity:You don’t need to be an expert in every area, but a hunger to learn and investigate is essential.
  • Progressive Mindset:Our teams have thrived over the past 18 months. We invest in training and support to align with your career goals.
  • Problem-Solvers:We value autonomy. If you hit a roadblock, ask for help—we’re a team!


Perks & Compensation:


  • Competitive Salary:Up to £80k.
  • Comprehensive Benefits:Pension, Medical, Life Assurance, and more

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Careers

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Careers

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Careers

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.