344 Image Processing jobs in the United Kingdom

My client is a leading and growing defence consultancy focused on UK Defence, Cyber Threat and Homeland Security.

They looking for an experienced DSP engineer to join the diverse team on a permanent basis.

RF Engineer

• Base salary DOE, very very competitive rates.
• 10% employer pension contribution with a 3% personal.
• Private medical for you and family.
• Life insurance X6 salary.
• A very generous relocation package if needed and more great benefits.
• Onsite role based in Cambridgeshire.

Requirements

• Experienced with DSP within the defence industry.
• Active SC or DV clearance.
• DSP experience on FPGA architectures.
• Sole British citizenship.
• Electronics, RF or Embedded Software exposure would be nice to have.
• Radar or communication applications experience.

For more details please apply or send your CV directly to

• Design, develop, and optimize digital signal processing algorithms for various applications.
• Implement and test algorithms using simulation tools (e.g., MATLAB, Python) and embedded platforms.
• Collaborate with hardware engineers to define sensor requirements and data acquisition strategies.
• Work with software engineers to integrate signal processing modules into larger systems.
• Analyze experimental data and system performance to identify areas for improvement.
• Develop documentation for algorithms, designs, and test procedures.
• Stay current with the latest advancements in signal processing techniques and technologies.
• Contribute to the innovation pipeline by proposing new ideas and solutions.

• Proven experience in digital signal processing, with a strong portfolio of developed algorithms.
• Proficiency in MATLAB, Simulink, Python, C/C++, or similar programming languages.
• Solid understanding of fundamental DSP concepts (e.g., filtering, Fourier analysis, estimation theory).
• Experience with real-time embedded systems and microcontrollers.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities, suited for a hybrid work environment.
• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field with a specialization in Signal Processing.

• Design and implement sophisticated digital signal processing (DSP) algorithms for wireless communication systems, focusing on RF signal analysis, modulation/demodulation, equalization, and channel coding.
• Develop and validate algorithms using simulation tools such as MATLAB, Simulink, or Python.
• Translate theoretical concepts into practical, efficient, and robust real-time implementations.
• Analyze and optimize algorithm performance for various communication standards (e.g., 5G, Wi-Fi, satellite).
• Collaborate closely with hardware engineers to integrate DSP solutions into embedded systems and FPGAs.
• Conduct rigorous testing and verification of algorithms on hardware prototypes and target platforms.
• Stay abreast of the latest advancements in signal processing, communications theory, and related fields.
• Document algorithm designs, implementation details, and test results comprehensively.
• Contribute to system-level design discussions and provide expertise on signal processing aspects.
• Mentor junior engineers and share knowledge within the team.
• Identify and resolve complex technical challenges in signal processing and communications.
• Evaluate and benchmark algorithm efficiency in terms of computational complexity and power consumption.
• Participate in design reviews and provide technical feedback.
• Contribute to the definition of future product roadmaps and R&D initiatives.
• Ensure signal processing designs meet performance, reliability, and regulatory requirements.

• Ph.D. or Master's degree in Electrical Engineering, Signal Processing, Communications Engineering, or a related field.
• A minimum of 5 years of relevant industry experience in digital signal processing, with a strong emphasis on wireless communications.
• Expertise in algorithm development for RF systems, including areas like MIMO, OFDM, channel estimation, and interference cancellation.
• Proficiency in MATLAB, Simulink, and/or Python for algorithm development and simulation.
• Experience with C/C++ for embedded systems implementation is highly desirable.
• Familiarity with FPGA development tools and concepts is a strong plus.
• Deep understanding of communication theory, information theory, and digital filtering techniques.
• Experience with radio propagation and channel modeling.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills, suitable for remote collaboration.
• Ability to work independently and manage projects effectively in a remote environment.
• Track record of innovation and contribution to signal processing solutions.
• Familiarity with software defined radio (SDR) platforms is an advantage.

• Architect, design, and implement RTL (Register Transfer Level) for complex FPGA designs, particularly for DSP applications.
• Develop and optimize high-level synthesis (HLS) C++ or other high-level languages for FPGA implementation.
• Perform thorough functional verification and simulation of FPGA designs to ensure correctness and performance.
• Collaborate closely with systems engineers and software developers to integrate FPGA solutions into larger systems.
• Develop and maintain robust testbenches and verification environments.
• Debug complex hardware and software issues, identifying root causes and implementing effective solutions.
• Contribute to the definition and refinement of architectural specifications for next-generation products.
• Evaluate and select appropriate FPGA devices and development tools.
• Mentor junior engineers and share technical knowledge within the team.
• Document design specifications, verification plans, and test results meticulously.
• Optimize designs for timing, power consumption, and resource utilization.

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
• Minimum of 6 years of hands-on experience in FPGA design and verification.
• Expertise in VHDL or Verilog for RTL design.
• Strong understanding and practical experience with Digital Signal Processing algorithms and their implementation on FPGAs.
• Proficiency in using FPGA development tools (e.g., Xilinx Vivado, Intel Quartus).
• Experience with high-level synthesis (HLS) tools and methodologies.
• Solid understanding of computer architecture and digital logic design principles.
• Familiarity with scripting languages such as Python or Perl for automation.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, suitable for a remote team environment.
• Ability to work independently and manage time effectively.

We are seeking a
Senior Computer Vision / Multimodal Engineer
to design, train, and deploy advanced vision models for object detection, segmentation, tracking, and behavior analysis within real-world retail and mobility environments. You will play a key role in optimizing real-time performance for edge and cloud systems, developing robust inference pipelines, and pushing the boundaries of multimodal AI.

This is an exciting opportunity to work on
cutting-edge visual AI
that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts.

Key Responsibilities

• Design, train, and deploy
  Computer Vision models
  for detection, segmentation, tracking, and behavior understanding.
• Optimize
  inference pipelines
  for real-time performance on
  edge devices
  (e.g., NVIDIA Jetson, Coral) and
  cloud infrastructure
  .
• Collaborate with
  data and product teams
  to define new use cases, prototype solutions, and take models from lab to production.
• Develop
  synthetic data generation pipelines
  and augmentation strategies to enhance robustness across lighting conditions, formats, and environments.
• Research and integrate
  state-of-the-art Vision Transformers (ViTs), Large Vision Models (LVMs), and Multimodal AI
  into production workflows.
• Work with
  CCTV and multi-camera systems
  for tracking, localization, and behavior analytics.
• Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance.

Requirements

• 5–7 years
  of experience in
  Computer Vision and Deep Learning
  with deployed production models.
• Strong proficiency in
  Python
  and
  PyTorch
  ; hands-on experience with
  OpenCV, TensorRT, ONNX, or Triton
  .
• Proven expertise in
  object detection/tracking models
  such as
  YOLO, Deep SORT, DINOv2
  , or similar.
• Experience with
  real-time or low-latency processing
  ,
  multi-threaded programming
  , and
  performance tuning
  .
• Experience deploying and optimizing models on
  edge devices
  (Jetson, Coral, etc.).
• Demonstrated passion for
  research, innovation, and emerging AI technologies
  .
• Experience in
  3D modeling
  or
  video behavior analytics
  is a plus.

ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB

We are currently recruiting on behalf of a leading start-up business set for significant growth for the role of Lead Computer Vision Engineer . This is a rare opportunity to join an ambitious, fast-scaling company at a pivotal stage.

What you’ll be doing:

• Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance.
• Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines.
• Optimise model architectures and tune hyper parameters to maximise throughput while maintaining computational efficiency.
• Work closely with software engineers, product managers, and platform engineers to deliver seamless computer vision solutions.
• Monitor deployed models by analysing performance metrics, troubleshooting issues, and implementing updates to maintain optimal results.
• Stay up to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation.

Main Skills/ Requirements:

• Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning
• Over 5 years of experience deploying computer vision models in production environments
• Advanced proficiency in Python programming
• Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes
• Solid understanding of computer vision techniques, including image classification, object detection, and segmentation
• Experience with Large Vision Models (LVMs) is highly desirable
• Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation

How you’ll be rewarded:

• Share Options
• Competitive Benefits
• Opportunity to join a leading start-up

This is an excellent opportunity for an experienced Lead Computer Vision Engineer to join a growing company, that are driven towards success!

For further information on this Lead Computer Vision Engineer position, apply below!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Location: London - Hybrid

We’re seeking a Staff Computer Vision Engineer to help scale our vision AI product into a high-performing, reliable, production-ready platform. You’ll contribute deep technical expertise, scientific rigor, and a strong product-focused perspective. This position is ideal for someone who thrives on tackling complex challenges, staying deeply engaged in the work, and influencing how a team collaborates and achieves success.

The role:

• Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation.
• Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases.
• Deliver Proven Solutions — Experiment rapidly using PyTorch, validate rigorously, and productionize what works. Contribute to benchmarking and ongoing improvements.
• Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals.
• Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation.

Requirements

• PhD (or equivalent) in Computer Vision, Machine Learning, or related field.
• Proven record deploying large-scale CV models in production.
• Strong Python skills with PyTorch or TensorFlow expertise.
• Deep understanding of modern CV architectures, especially LVMs and Transformers.
• Experience with multimodal data (images, video, text) and MLOps workflows.
• Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences

This is an excellent opportunity for an experienced Staff Computer Vision Engineer to join a leading company that are driven towards success!

For further information on this Staff Computer Vision Engineer position, apply below!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.