331 Machine Learning jobs in the United Kingdom

We’re Hiring: Data Scientist / Machine Learning Engineer

Location: Sheffield/London (hybrid)

Employment Type: Contract

We are seeking a highly skilled Data Scientist / Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights.

Responsibilities:

• Preprocess structured and unstructured data for analysis
• Enhance data collection procedures to include all relevant information for analytic systems
• Process, cleanse, and validate the integrity of data
• Analyze large volumes of data to identify patterns and solutions
• Develop predictive systems and machine learning algorithms
• Present analytical results clearly to stakeholders
• Propose solutions and strategies for business challenges
• Perform data mining and extract usable insights from multiple data sources
• Use machine learning tools to select features, create, and optimize classifiers

Qualifications:

• Programming Skills: Expertise in Python; Scala/Java knowledge is an advantage
• OpenTelemetry Expertise: Strong understanding of OpenTelemetry stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring
• Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models
• Strong analytical and problem-solving skills
• Experience with feature selection, classifier creation, and optimization

About Us:
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

A pioneering technology firm at the forefront of AI development is seeking a talented Machine Learning Engineer to join its innovative team in **Newcastle upon Tyne, Tyne and Wear, UK**. This role is a fantastic opportunity for an experienced professional to contribute to cutting-edge projects, developing and deploying advanced machine learning models that solve complex real-world problems. You will work with large datasets, design experiments, and implement robust ML solutions.

Key Responsibilities:

• Design, build, train, and deploy machine learning models for various applications.
• Develop and maintain scalable ML pipelines and infrastructure.
• Work with large and complex datasets, performing data preprocessing, feature engineering, and model evaluation.
• Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into ML solutions.
• Implement and optimize algorithms for performance and efficiency.
• Stay up-to-date with the latest research and advancements in machine learning and artificial intelligence.
• Contribute to the development of AI strategies and roadmaps.
• Ensure the ethical and responsible use of AI technologies.
• Troubleshoot and debug ML models and systems.
• Mentor junior engineers and share knowledge within the team.

The ideal candidate will have a Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. Proven experience in developing and deploying machine learning models in production environments is essential. Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn are required. Strong knowledge of data structures, algorithms, and software engineering best practices is also necessary. Excellent problem-solving and analytical skills, along with strong communication and teamwork abilities, are crucial for this role. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is a plus. This is a fully remote role, offering the flexibility to work from home, with occasional team meetups. Join us in shaping the future of artificial intelligence.

An innovative technology company is looking for a talented Machine Learning Engineer to contribute to groundbreaking AI projects. This is a fully remote position, allowing you to work from anywhere within the UK. As a Machine Learning Engineer, you will design, develop, and deploy sophisticated machine learning models that solve complex problems and drive business value. Your responsibilities will include data preprocessing, feature engineering, model training, evaluation, and deployment in production environments. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions into our products and services. Key tasks involve staying current with the latest advancements in machine learning and AI, experimenting with new algorithms and techniques, and optimizing model performance for scalability and efficiency. The ideal candidate will possess a strong academic background in Computer Science, Data Science, Statistics, or a related quantitative field, coupled with practical experience in building and deploying ML models. Proficiency in programming languages such as Python, along with extensive experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and data manipulation tools (e.g., Pandas, Spark), is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent problem-solving skills, a deep understanding of statistical modeling, and the ability to work independently and collaboratively in a remote team setting are crucial for success in this role. You will be instrumental in advancing our AI capabilities and delivering cutting-edge solutions.