737 Software Engineer Computer Vision jobs in the United Kingdom
PhD Computer Scientist, Image Processing
Posted 11 days ago
Job Viewed
Job Description
3D image analysis, life sciences / bio, machine learning, CNNs
Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D / 4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques.
You will support equally qualified colleagues with a life sciences background, putting to work your prodigious Python skills to advance the state of a growing software platform which forms the bedrock of future research for a global scientific audience.
You will bring:
- A relevant PhD, most likely in computer science, backed by a good technical degree and strong A-levels.
- Creativity and reasoning, intellectual curiosity, adaptability, drive and energy, along with an interest in working alongside researchers with diverse backgrounds.
- Strong software engineering and algorithm development skills in Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar.
- Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking.
Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial. Whereas statistical approaches are not required.
This role will initially be a fixed term contract for 3+ years, with the potential to become a permanent position at that time. Salary is competitive and benefits are excellent. Flexible hours and hybrid working are available.
Another top job from ECM, the high-tech recruitment experts.
Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.
Please apply (quoting ref: CV27452 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Senior C++ Computer Vision Engineer,Camera & Sensor Software
Posted 5 days ago
Job Viewed
Job Description
Do you want to work on truly challenging problems that will change the world and bring people together? Join our team of smart, friendly and inventive builders to imagine, create and deliver the next high-profile Amazon camera & sensor product. Our cross-functional team brings together engineers and scientists with deep expertise in the different worlds of image quality, algorithm design, embedded software, robotics and depth sensing, optics/photogrammetry, graphics and simulation, and machine learning. Together we have built a vast range of different ground-breaking products - from the Echo Look, Echo Show, Ring security cameras and the Astro home robot.
Key job responsibilities
As a Senior Software Development Engineer you will:
- Design algorithms and write software for our consumer products.
- Work closely with camera & sensor experts, product management, computer vision and machine learning experts.
- Guide the team to solve complex technical challenges and invent new ways to bring joy and value to our customers.
- Guide and develop more junior engineers as well as managing your own deliverables.
Basic Qualifications
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience as a mentor, tech lead or leading an engineering team
- Understanding of building systems and toolchains
- Identifying needs for providing and driving software reviews and optimizations
- Experience dealing with middleware/SW stacks and embedded systems
- Experience with API design
- Experience with continuous integration practices (unit-test, linting, code coverage, etc.)
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
Senior C++ Computer Vision Engineer,Camera & Sensor Software
Posted 5 days ago
Job Viewed
Job Description
Do you want to work on truly challenging problems that will change the world and bring people together? Join our team of smart, friendly and inventive builders to imagine, create and deliver the next high-profile Amazon camera & sensor product. Our cross-functional team brings together engineers and scientists with deep expertise in the different worlds of image quality, algorithm design, embedded software, robotics and depth sensing, optics/photogrammetry, graphics and simulation, and machine learning. Together we have built a vast range of different ground-breaking products - from the Echo Look, Echo Show, Ring security cameras and the Astro home robot.
Key job responsibilities
As a Senior Software Development Engineer you will:
- Design algorithms and write software for our consumer products.
- Work closely with camera & sensor experts, product management, computer vision and machine learning experts.
- Guide the team to solve complex technical challenges and invent new ways to bring joy and value to our customers.
- Guide and develop more junior engineers as well as managing your own deliverables.
Basic Qualifications
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience as a mentor, tech lead or leading an engineering team
- Understanding of building systems and toolchains
- Identifying needs for providing and driving software reviews and optimizations
- Experience dealing with middleware/SW stacks and embedded systems
- Experience with API design
- Experience with continuous integration practices (unit-test, linting, code coverage, etc.)
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
Senior C++ Computer Vision Engineer, Camera & Sensor Software

Posted today
Job Viewed
Job Description
Do you want to work on truly challenging problems that will change the world and bring people together? Join our team of smart, friendly and inventive builders to imagine, create and deliver the next high-profile Amazon camera & sensor product. Our cross-functional team brings together engineers and scientists with deep expertise in the different worlds of image quality, algorithm design, embedded software, robotics and depth sensing, optics/photogrammetry, graphics and simulation, and machine learning. Together we have built a vast range of different ground-breaking products - from the Echo Look, Echo Show, Ring security cameras and the Astro home robot.
Key job responsibilities
As a Senior Software Development Engineer you will:
- Design algorithms and write software for our consumer products.
- Work closely with camera & sensor experts, product management, computer vision and machine learning experts.
- Guide the team to solve complex technical challenges and invent new ways to bring joy and value to our customers.
- Guide and develop more junior engineers as well as managing your own deliverables.
Basic Qualifications
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience as a mentor, tech lead or leading an engineering team
- Understanding of building systems and toolchains
- Identifying needs for providing and driving software reviews and optimizations
- Experience dealing with middleware/SW stacks and embedded systems
- Experience with API design
- Experience with continuous integration practices (unit-test, linting, code coverage, etc.)
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AI Business Development Director

Posted today
Job Viewed
Job Description
In the current climate, many of NTT DATA's clients are unsurprisingly looking for advice and solutions related to AI. NTT DATA UK already has a phenomenal reputation in this area, we want to go further and faster in 2025. We are looking for Business Development professionals to join our newly established AI Practice to drive this growth.
As a Business Development Director reporting to the Head of AI Practice, you'll be part of a team of specialists who work with our industry-facing client partners to drive AI sales. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You'll work with others to reflect back the views of our clients and prospects and help to continuously shape our go to market approach. You may be personally hunting for new logos or working with our existing clients to help them move faster with AI. In either case, a growth mindset is essential to this type of work.
While you will have a personal sales target, remuneration is not attached to a percentage of what you personally achieve - we play a team game and are looking for team players.
**What you'll be doing:**
+ Understanding NTT DATA's offerings primarily in AI but also maintaining an awareness of other offerings so as to be able to pass opportunities on to colleagues working in other areas. You will contribute to the evolution of these AI offerings and a regular update is expected to be the new normal. Note that our offering is broad and ranges from infrastructure to strategic advisory services.
+ Building trusted client relationships by understanding the pain points in their industry and organisation.
+ Describing how our offerings solve client challenges and memorising the key points of case studies that showcase our work.
+ Following up on new leads and pursuing the sales journey to the point of contract - the latter stages of this involve liaising with delivery teams.
+ Working with partners as needed by the opportunity (we have a Partners team, so close liaison with them will be essential)
+ Maintaining an understanding of the key trends in AI, while recognising that the pace is of change is significant and that upskilling must be kept in balance with the other demands of the role
+ Keeping track of opportunities and client conversations in our tracking tools, primarily Salesforce
+ Attending conferences and events which will further the above ambitions
+ Travelling to meet clients in person whenever the client makes this possible - particularly for initial meetings - we believe in the power of face-to-face communications.
+ Using your personal network to create leads
+ Being part of our AI Practice Community where we all share learning and insight
**What experience you'll bring:**
+ Minimum of 6 years of Business Development expertise
+ Prior experience in selling AI solutions or platforms for at least 1 year
+ Experience of selling bespoke software or infrastructure services (experience of product sales while helpful is not enough)
+ Experience in at least one of the following industries: Telco, Insurance, Banking, Utilities, Retail, Manufacturing, Public Sector
+ Demonstrable knowledge of key trends in AI
+ The ability to creatively apply the technology to a client problem - we have technical experts to support and validate but you must bring ideas of your own
+ Excellent problem-solving skills
+ Autonomy and proactivity - a self-starter
+ Entrepreneurial spirit
+ Motivation to acquire knowledge in the area
+ Ability to gain SC clearance is an advantage
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Back to search Email to a friend Apply now
Researcher In Computer Vision And Machine Learning
Posted 18 days ago
Job Viewed
Job Description
An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge.
This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the intersection of Vision and Language. As part of the Future Interaction Research Programme, you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies.
Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge:
- Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language.
- Publish research findings at top international conferences (CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACL, etc.).
- Drive conceptual and methodological innovation, contributing to the centre's long-term research goals.
- Collaborate with product and engineering teams to support the transfer of advanced research into commercial applications.
Areas of Interest Include:
- Contrastively trained and auto-regressive Vision & Language models (e.G. CLIP, BLIP)
- Visual LLMs (e.G. LLaVA)
- Generative models (e.G. Stable Diffusion, auto-regressive models)
- Efficient architectures for deployment
- Model compression (quantization, distillation)
- Efficient adaptation of large models
What We're Looking For:
- Proven research experience in Computer Vision and/or Machine Learning
- Strong knowledge of deep learning frameworks (e.G. PyTorch)
- A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.)
- Excellent communication and collaboration skills
- Experience with Vision and Language models or related areas is advantageous
This is a permanent, full-time position for a Researcher in Computer Vision and Machine Learning based in Cambridge, UK. If you are passionate about pushing the boundaries of AI and want to work in a stimulating and impactful environment, we would love to hear from you.
APPLY NOW to join an elite research team working on the frontier of artificial intelligence.
Send your CV to (url removed) or call Rachael on (phone number removed).
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Job Description:
We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform).
Responsibilities:
- Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed. li>Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines.
- Ensure the models are modular. Ensure the model is source-controlled with agreed release numbering.
- Extract any hard-coded elements and parameterise them so that the model execution can be controlled through input parameters.
- Ensure the model input parameters are version-controlled and logged to the model execution runs for auditability.
- Ensure model metrics are logged to the model runs.
- Ensure model logging, monitoring, and alerting to make sure any failure points are captured, monitored and alerted for support team to investigate or re-run of the model involves running of multiple experiments and choosing the best model (champion challenger) based on the accuracy/error rate of each experiment, ensure this is done in an automated manner. li>Ensure the model is triggered to run as per the defined schedule. If the process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies.
- Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future
- models to benefit.
- Where applicable, capture data drift, concept drift, model performance degradation signals and ensure model retrain.
- Implement CI/CD pipelines for ML models and automate the deployment.
- Maintain relevant documentation.
Requirements:
- Bachelor's degree in a relevant field.
- Minimum of 5 years of experience as a business analyst, with a focus on capturing and documenting business requirements and business processes.
- Strong understanding of banking and financial industry practices and regulations.
- Solid knowledge of Data Management process, data analysis and modelling techniques.
- Experience in monetary policy analysis (nice to have)
- Experience in time series database analysis
- Familiarity with business intelligence tools and concepts.
- Strong analytical and problem-solving skills.
- Experience in managing software development lifecycles within Agile frameworks to ensure timely and high-quality delivery.
- Excellent communication and collaboration skills.
- Ability to adapt to changing requirements and priorities in a fast-paced environment.
Be The First To Know
About the latest Software engineer computer vision Jobs in United Kingdom !
Machine Learning Engineer
Posted 18 days ago
Job Viewed
Job Description
Spearheading the integration of machine learning into cutting-edge electronics
This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.
You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next.
Requirements:
- Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
- A top degree in a STEM subject
- UK national
While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).
Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.
Another top job from ECM, the high-tech recruitment experts.
Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.
Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Machine Learning Scientist

Posted today
Job Viewed
Job Description
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.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented.
WHJS1_UKTJ