34 Signal Processing jobs in the United Kingdom

Senior Signal Processing Engineer (Communications / Radio Systems) – South Cambridge / Essex Borders - To C£85K + Hybrid + Benefits -  Rewarding opportunity for an expert in Signal Processing and Radio systems to use their broad range of technical skills and knowledge to deliver cutting edge solutions to customers Worldwide.

About the Senior Signal Processing Engineer role

This is a critical role within a high-performing R&D environment, where you will work on advanced radio systems design and signal processing technologies. The role spans software-defined radio (SDR) platforms and demands expertise in digital signal processing (DSP) algorithms and Radio Systems as well as some knowledge of Embedded Software, RF and Analogue Sensors.

You will contribute across the full product development lifecycle—from initial design through to testing and integration—helping deliver next-generation solutions for global surveillance and communication challenges.

The Senior Signal Processing should possess:

• Degree-qualified (BSc or MSc) in Electrical/Electronic Engineering, Communications, or a related field
• Strong background in DSP algorithm development and signal processing theory
• Experience relating to Radio Systems, GNSS, Smart Antennas, Beamforming and Jammers all highly beneficial.
• Proficiency in MATLAB, Python, C/C++, or VHDL/Verilog for simulation and implementation
• Understanding of real-time systems and embedded platforms

Key Responsibilities of the Senior Signal Processing Engineer:

• Design and implementation of radio communication systems with a focus on DSP algorithms
• Development of SDR architectures for radar and comms systems
• Application of DSP methodologies such as filtering, modulation/demodulation, beamforming, and spectral analysis
• Cross-functional collaboration with RF, embedded software, and systems engineers
• Support product integration, validation, and verification activities

Applicants for this Senior Signal Processing Engineer role must be eligible for UK Security Clearance.

• 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.

• Analyze and interpret geological and geophysical data.
• Develop and refine 3D geological models.
• Conduct resource estimation and geological risk assessments.
• Prepare comprehensive technical reports and presentations.
• Collaborate with exploration and mining engineering teams.
• Utilize advanced geological software for data processing and visualization.
• Advise on exploration strategies and target definition.
• Ensure data quality and integrity throughout projects.
• Stay updated on the latest geological techniques and technologies.
• Contribute to the company's overall resource management strategy.

• MSc or PhD in Geology, Geophysics, or a related field.
• Significant experience in geological data analysis and modelling.
• Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
• Strong statistical analysis and quantitative skills.
• Experience in mineral resource estimation.
• Excellent written and verbal communication skills.
• Ability to work effectively in a hybrid environment.
• Strong problem-solving and critical thinking abilities.
• Familiarity with exploration and mining processes.

• Assist in collecting, cleaning, and organising large datasets from various sources.
• Perform preliminary data analysis using statistical methods and software tools.
• Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
• Learn and apply data mining techniques to identify trends, patterns, and insights.
• Contribute to the development of data models and analytical frameworks.
• Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
• Assist in documenting data sources, methodologies, and analytical processes.
• Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
• Participate in training sessions and workshops to enhance technical and analytical skills.
• Provide support for ad-hoc data requests and analysis as needed.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
• Excellent communication and interpersonal skills.
• Ability to work both independently and as part of a team.
• Proactive attitude and eagerness to learn and develop new skills.
• Eligibility to work in the UK.
• Comfortable working in a hybrid work environment.

• Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
• Support the team in designing and implementing data quality checks and validation processes.
• Gain exposure to statistical modeling and predictive analytics concepts.
• Learn to use programming languages such as Python or R for data manipulation and analysis.
• Understand database concepts and SQL for data extraction.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Contribute to the continuous improvement of data processes and methodologies.
• Undertake a structured learning program leading to a recognised qualification in Data Analysis.

• A strong interest in data, analytics, and technology.
• A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
• Excellent problem-solving abilities and a keen eye for detail.
• Good communication and teamwork skills.
• A proactive attitude and a willingness to learn.
• Basic understanding of Excel or similar spreadsheet software is advantageous.

• Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
• Develop predictive models for crop growth, disease outbreaks, and pest infestations.
• Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
• Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
• Collaborate with the R&D team to improve data collection methodologies and analytical tools.
• Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
• Contribute to the development of best practices for sustainable agriculture through data analysis.
• Assist in the design and execution of field trials to validate analytical models and recommendations.
• Troubleshoot data quality issues and implement data cleansing procedures.
• Communicate effectively with clients and internal teams through virtual channels.

• A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
• Proficiency in data analysis tools such as R, Python, or similar programming languages.
• Experience with GIS software and remote sensing data interpretation.
• Knowledge of various crop types and agricultural systems.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to convey technical information effectively.
• Proven ability to work independently, manage projects, and deliver results in a remote setting.
• Experience in a client-facing role or providing advisory services is a plus.
• A passion for sustainable agriculture and technological innovation.

• Assist senior analysts in collecting and cleaning large datasets from various sources.
• Perform data extraction, transformation, and loading (ETL) processes under guidance.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop and create clear and concise data visualizations and reports to communicate findings.
• Support the development and testing of analytical models.
• Learn and apply statistical methods and techniques relevant to data analysis.
• Collaborate with team members to understand project requirements and contribute to solutions.
• Maintain accurate documentation of data processes and analytical methodologies.
• Participate in team meetings and training sessions to enhance technical and analytical skills.
• Contribute to ad-hoc data analysis requests as needed.

• A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
• Strong analytical and problem-solving abilities.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with SQL for database querying.
• An understanding of statistical concepts and data modelling principles.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data analysis is a plus.

• Develop and implement precision agriculture strategies tailored to specific farm operations.
• Collect and analyze data from various sources, including soil sensors, weather stations, drones, satellite imagery, and farm machinery.
• Utilize GIS and data visualization tools to map field variability and identify areas requiring specific treatment.
• Provide expert recommendations on crop nutrition, pest and disease management, irrigation, and soil health based on data analysis.
• Monitor crop growth and performance, identifying potential issues and recommending timely interventions.
• Evaluate the effectiveness of different agricultural inputs and practices.
• Stay current with the latest advancements in agricultural technology, data science, and agronomic research.
• Collaborate with farm managers, agronomists, and technical staff to implement recommendations and ensure successful outcomes.
• Maintain detailed records of field trials, experiments, and operational data.
• Contribute to the development of sustainable and environmentally sound farming practices.
• Train farm personnel on the use of precision agriculture technologies and data interpretation tools.
• Prepare reports and presentations on findings, recommendations, and program performance.

• Bachelor's or Master's degree in Agronomy, Agricultural Science, Soil Science, Data Science, or a related field.
• Proven experience (3+ years) as an Agronomist or in a related agricultural role with a strong focus on data analysis.
• Demonstrable expertise in precision agriculture techniques and technologies (e.g., GPS guidance, variable rate application, remote sensing).
• Proficiency in using GIS software (e.g., ArcGIS, QGIS) and data analysis tools (e.g., R, Python, Excel with advanced functions).
• Strong understanding of soil science, crop physiology, plant pathology, and entomology.
• Experience with agricultural data management platforms and software.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex data to diverse audiences.
• Ability to work independently and as part of a team in a field-based environment.
• A valid driver's license and willingness to travel to various farm locations within the region.
• Knowledge of sustainable agriculture practices is a plus.